CN117475642A - Road traffic state detection method and device, electronic equipment and storage medium - Google Patents

Abstract

The application provides a method, a device, electronic equipment and a storage medium for detecting a road traffic state, wherein a road between an upstream charging point of a target and a downstream charging point of the target is determined to be a target road; determining sub-road sections included in the target road sections according to the setting positions of the target upstream charging points and the target downstream charging points, the arrangement positions and the detection ranges of the detection devices arranged in the target road sections; based on the detection range of the detection equipment, obtaining actual measurement traffic data corresponding to the actual measurement sub-road section and overall traffic data corresponding to the target road section; determining fusion traffic data corresponding to the fusion sub-road section according to a preset fusion relation by using the actually measured traffic data and the whole traffic data; and inputting the actually measured traffic data, the whole traffic data and the fusion traffic data into a preset detection model to obtain traffic states respectively corresponding to the actually measured sub-road sections and the fusion sub-road sections. By the method, accuracy of road traffic state detection is improved.

Description

Road traffic state detection method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of road traffic state detection technologies, and in particular, to a method and apparatus for detecting a road traffic state, an electronic device, and a storage medium.

Background

The traffic state is formed under the comprehensive actions of traffic demand, traffic event and road traffic capacity, and the traffic jam is the traffic state generated when the traffic capacity cannot meet the traffic demand. Along with the continuous increase of social economy, the quantity of possession of domestic automobiles is increased more and more, and the traffic flow of expressways is increased sharply, and due to the lack of effective management and control measures and the lack of deep analysis on road traffic capacity, the phenomenon of vehicle congestion on expressways is increased more seriously, and in addition, the phenomenon that the expressways are slowly passed, blocked or interrupted due to traffic accidents, bad weather, natural disasters and other emergency events occurs, so that the passing efficiency and the traveling experience are greatly influenced.

At present, the highway road traffic capacity is generally remained in artificial qualitative evaluation and subjective judgment, a deep analysis means for effectively aiming at data and technology is lacking in an application level, and some methods for improving the road running management capacity through intelligent means also make processing and analyzing the traffic big data very difficult along with accumulation of the traffic big data, and the real running state of a road network cannot be restored, so that value increment of the data and support for road decision are difficult to realize.

Disclosure of Invention

In view of this, an object of the present application is to provide a method, an apparatus, an electronic device, and a storage medium for detecting a traffic state of a road segment, where a target road segment is divided according to a position of a detection point and a coverage area of the detection point, and then actual measurement data in the road segment are fused to detect traffic states of each road segment in the target road segment, so as to achieve effects of homogeneous enhancement and heterogeneous complementation of multi-source traffic data, and achieve fine detection of traffic states of the road segment, thereby improving real-time performance and accuracy of detecting traffic states of the road segment.

The embodiment of the application provides a detection method of a road traffic state, which comprises the following steps:

determining a road section between a target upstream charging point as a starting point and a target downstream charging point as an ending point as a target road section;

determining sub-road sections included in the target road section according to the setting position of the target upstream charging point, the setting position of the target downstream charging point, the layout position and the detection range of the detection equipment arranged in the target road section; the sub-road sections comprise actual measurement sub-road sections and fusion sub-road sections;

based on the detection range of the detection equipment, acquiring actual measurement traffic data corresponding to the actual measurement sub-road section acquired by the detection equipment and integral traffic data corresponding to the target road section acquired by the charging point;

Determining fusion traffic data corresponding to the fusion sub-road section according to a preset fusion relation by using the acquired actual measurement traffic data and the whole traffic data;

and inputting the actually measured traffic data, the whole traffic data and the fused traffic data into a preset detection model to obtain the traffic state respectively corresponding to each actually measured sub-road section and each fused sub-road section included in the target road section output by the detection model.

Further, when the detection range of the detection device is interval coverage and the layout position of the detection device is that the detection range is connected, the step of determining the sub-road section included in the target road section includes:

determining a coverage area interval corresponding to the detection equipment as an actual measurement sub-section in the target section;

determining an endpoint corresponding to the boundary of the measured sub-road section according to the coverage area of the measured sub-road section;

and respectively determining a road section formed by the target upstream charging point, the target downstream charging point and an end point corresponding to the boundary of the actually measured sub road section adjacent to the charging point in position as a fusion sub road section in the target road section.

Further, when the detection range of the detection device is interval coverage and the layout position of the detection device is that the detection range is not communicated, the step of determining the sub-road section included in the target road section includes:

determining a coverage area interval corresponding to the detection equipment as an actual measurement sub-section in the target section;

determining an endpoint corresponding to the boundary of the measured sub-road section according to the coverage area of the measured sub-road section;

and respectively determining a road section formed by the target upstream charging point, the target downstream charging point and an end point corresponding to the boundary of the actual measurement sub road section adjacent to the charging point in position and a road section between the actual measurement sub road sections as a fusion sub road section in the target road section.

Further, when the detection range of the detection device is node coverage, the step of determining the sub-link included in the target link includes:

determining a node section corresponding to the detection equipment as an actual measurement sub-section in the target section;

and respectively taking the target upstream charging point and the target downstream charging point as the starting points of the sub-road sections, taking the detection equipment adjacent to the charging point in the layout position as the ending points of the sub-road sections, and determining the road sections between the starting points of the sub-road sections and the ending points of the sub-road sections as the fusion sub-road sections in the target road sections.

Further, the determining, by using the obtained actually measured traffic data and the obtained overall traffic data according to a preset fusion relationship, the fusion traffic data corresponding to the fusion sub-road section includes:

when the detection range of the detection equipment is interval coverage, determining fusion traffic data corresponding to the fusion sub-road section by using the acquired actually measured traffic data and the whole traffic data according to a fusion relation corresponding to the interval coverage of the detection range of the detection equipment;

when the detection range of the detection equipment is node coverage, determining fusion traffic data corresponding to the fusion sub-road section by using the acquired actually measured traffic data and the whole traffic data according to a fusion relation corresponding to the detection range of the detection equipment which is node coverage.

Further, the inputting the measured traffic data, the overall traffic data and the fused traffic data into a preset detection model to obtain traffic states corresponding to each measured sub-road segment and each fused sub-road segment included in the target road segment output by the detection model, includes:

determining a traffic flow characteristic set corresponding to the target road section according to the actually measured traffic data, the overall traffic data and the fusion traffic data;

Inputting the traffic characteristics corresponding to each actually measured sub-road section in the traffic flow characteristic set into a detection model corresponding to the actually measured sub-road section to obtain a traffic state which is output by the detection model and indicates that each actually measured sub-road section in the target road section is congested or unblocked;

determining traffic flow characteristics corresponding to each fusion sub-road section in the traffic flow characteristic set according to the traffic state indicating that each actually measured sub-road section in the target road section is congested or unimpeded;

and inputting the traffic flow characteristics corresponding to each fusion sub-road section into a detection model corresponding to the fusion sub-road section to obtain a traffic state which is output by the detection model and indicates that each fusion sub-road section in the target road section is congested or unimpeded.

Further, the determining, according to the actually measured traffic data, the overall traffic data and the fused traffic data, a traffic flow feature set corresponding to the target road section includes:

respectively differencing the actually measured traffic data, the overall traffic data and the fusion traffic data with the calibrated road traffic data to obtain a plurality of data difference values, and determining the plurality of data difference values as a difference value set in a traffic flow characteristic set corresponding to the target road section;

And determining the difference value set, the actually measured traffic data, the whole traffic data and the fusion traffic data as a traffic flow characteristic set corresponding to the target road section.

The embodiment of the application also provides a detection device for the traffic state of the road section, which comprises:

the first road segment determining module is used for determining a road segment between the target upstream charging point serving as a starting point and the target downstream charging point serving as an ending point as a target road segment;

a second road section determining module, configured to determine a sub road section included in the target road section according to a setting position of the target upstream charging point, a setting position of the target downstream charging point, a layout position and a detection range of a detection device set in the target road section; the sub-road sections comprise actual measurement sub-road sections and fusion sub-road sections;

the data acquisition module is used for acquiring actual measurement traffic data corresponding to the actual measurement sub-road section acquired by the detection equipment and integral traffic data corresponding to the target road section acquired by the charging point based on the detection range of the detection equipment;

the data fusion module is used for determining fusion traffic data corresponding to the fusion sub-road section according to a preset fusion relation by using the acquired actual measurement traffic data and the whole traffic data;

And the traffic state detection module is used for inputting the actually measured traffic data, the overall traffic data and the fusion traffic data into a preset detection model to obtain the traffic state corresponding to each actually measured sub-road section and each fusion sub-road section included in the target road section output by the detection model.

Further, when the detection range of the detection device is interval coverage and the layout position of the detection device is that the detection range is connected, the second road section determining module is configured to, when determining the sub road section included in the target road section, determine:

determining a coverage area interval corresponding to the detection equipment as an actual measurement sub-section in the target section;

determining an endpoint corresponding to the boundary of the measured sub-road section according to the coverage area of the measured sub-road section;

and respectively determining a road section formed by the target upstream charging point, the target downstream charging point and an end point corresponding to the boundary of the actually measured sub road section adjacent to the charging point in position as a fusion sub road section in the target road section.

Further, when the detection range of the detection device is interval coverage and the layout position of the detection device is that the detection range is not communicated, the second road section determining module is configured to, when determining the sub road section included in the target road section, determine:

Determining a coverage area interval corresponding to the detection equipment as an actual measurement sub-section in the target section;

determining an endpoint corresponding to the boundary of the measured sub-road section according to the coverage area of the measured sub-road section;

and respectively determining a road section formed by the target upstream charging point, the target downstream charging point and an end point corresponding to the boundary of the actual measurement sub road section adjacent to the charging point in position and a road section between the actual measurement sub road sections as a fusion sub road section in the target road section.

Further, when the detection range of the detection device is node coverage, the second road segment determining module is configured to, when determining a sub road segment included in the target road segment, determine:

determining a node section corresponding to the detection equipment as an actual measurement sub-section in the target section;

and respectively taking the target upstream charging point and the target downstream charging point as the starting points of the sub-road sections, taking the detection equipment adjacent to the charging point in the layout position as the ending points of the sub-road sections, and determining the road sections between the starting points of the sub-road sections and the ending points of the sub-road sections as the fusion sub-road sections in the target road sections.

Further, when the data fusion module is configured to determine, according to a preset fusion relationship, the fusion traffic data corresponding to the fusion sub-road section by using the obtained actually measured traffic data and the overall traffic data, the data fusion module is configured to:

when the detection range of the detection equipment is interval coverage, determining fusion traffic data corresponding to the fusion sub-road section by using the acquired actually measured traffic data and the whole traffic data according to a fusion relation corresponding to the interval coverage of the detection range of the detection equipment;

when the detection range of the detection equipment is node coverage, determining fusion traffic data corresponding to the fusion sub-road section by using the acquired actually measured traffic data and the whole traffic data according to a fusion relation corresponding to the detection range of the detection equipment which is node coverage.

Further, when the traffic state detection module is configured to input the actually measured traffic data, the overall traffic data, and the fused traffic data into a preset detection model to obtain traffic states corresponding to each actually measured sub-road segment and each fused sub-road segment included in the target road segment output by the detection model, the traffic state detection module is configured to:

Determining a traffic flow characteristic set corresponding to the target road section according to the actually measured traffic data, the overall traffic data and the fusion traffic data;

inputting the traffic characteristics corresponding to each actually measured sub-road section in the traffic flow characteristic set into a detection model corresponding to the actually measured sub-road section to obtain a traffic state which is output by the detection model and indicates that each actually measured sub-road section in the target road section is congested or unblocked;

determining traffic flow characteristics corresponding to each fusion sub-road section in the traffic flow characteristic set according to the traffic state indicating that each actually measured sub-road section in the target road section is congested or unimpeded;

and inputting the traffic flow characteristics corresponding to each fusion sub-road section into a detection model corresponding to the fusion sub-road section to obtain a traffic state which is output by the detection model and indicates that each fusion sub-road section in the target road section is congested or unimpeded.

Further, when the traffic state detection module is configured to determine a traffic flow feature set corresponding to the target road section according to the actually measured traffic data, the overall traffic data and the fused traffic data, the traffic state detection module is configured to:

Respectively differencing the actually measured traffic data, the overall traffic data and the fusion traffic data with the calibrated road traffic data to obtain a plurality of data difference values, and determining the plurality of data difference values as a difference value set in a traffic flow characteristic set corresponding to the target road section;

and determining the difference value set, the actually measured traffic data, the whole traffic data and the fusion traffic data as a traffic flow characteristic set corresponding to the target road section.

The embodiment of the application also provides electronic equipment, which comprises: the system comprises a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, the processor and the memory are communicated through the bus when the electronic device runs, and the machine-readable instructions are executed by the processor to execute the steps of the road section traffic state detection method.

The embodiments of the present application also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the road segment traffic state detection method as described above.

The method, the device, the electronic equipment and the storage medium for detecting the road traffic state provided by the embodiment of the application comprise the following steps: determining a road section between a target upstream charging point as a starting point and a target downstream charging point as an ending point as a target road section; determining sub-road sections included in the target road section according to the setting position of the target upstream charging point, the setting position of the target downstream charging point, the layout position and the detection range of the detection equipment arranged in the target road section; the sub-road sections comprise actual measurement sub-road sections and fusion sub-road sections; based on the detection range of the detection equipment, acquiring actual measurement traffic data corresponding to the actual measurement sub-road section acquired by the detection equipment and integral traffic data corresponding to the target road section acquired by the charging point; determining fusion traffic data corresponding to the fusion sub-road section according to a preset fusion relation by using the acquired actual measurement traffic data and the whole traffic data; and inputting the actually measured traffic data, the whole traffic data and the fused traffic data into a preset detection model to obtain the traffic state respectively corresponding to each actually measured sub-road section and each fused sub-road section included in the target road section output by the detection model.

Compared with the method for manually evaluating and judging and directly improving the road running management capability through an intelligent means in the prior art, the method for detecting the traffic state of each road section in the target road section by dividing the target road section according to the position of the detection point and the coverage area of the detection point and then fusing the actually measured data in the road section has the advantages that the effect of homogeneous enhancement and heterogeneous complementation of the multi-source traffic data is achieved, the fine detection of the traffic state of the road section is realized, and the real-time performance and the accuracy of the traffic state of the detected road section are further improved.

In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a method for detecting a road traffic state according to an embodiment of the present application;

fig. 2 (a) is one of the schematic dividing diagrams of the sub-links included in the target link according to the embodiment of the present application;

fig. 2 (b) is a second schematic diagram of a division of sub-links included in a target link according to an embodiment of the present application;

FIG. 2 (c) is a third schematic diagram illustrating the division of sub-links included in a target link according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of a road traffic state detection device according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. Based on the embodiments of the present application, every other embodiment that a person skilled in the art would obtain without making any inventive effort is within the scope of protection of the present application.

According to research, at present, the highway road traffic capacity is generally remained in artificial qualitative evaluation and subjective judgment, a deep analysis means for effectively aiming at data and technology is lacking in an application level, and some methods for improving the road operation management capacity through intelligent means also make processing and analyzing the traffic big data very difficult along with accumulation of massive traffic big data, and the real running state of a road network cannot be restored, so that value increment of the data and support for road decision are difficult to realize.

Based on the above, the embodiment of the application provides a road section traffic state detection method, which divides a target road section according to the position of a detection point and the coverage area of the detection point, and then fuses measured data in the road section to detect the traffic state of each road section in the target road section, thereby achieving the effects of homogeneous enhancement and heterogeneous complementation of multi-source traffic data, realizing the refined detection of the road section traffic state, and further improving the real-time performance and accuracy of detecting the road section traffic state.

Referring to fig. 1, fig. 1 is a flowchart of a method for detecting a road traffic state according to an embodiment of the present application. As shown in fig. 1, the method for detecting a road traffic state provided in the embodiment of the present application includes:

S101, a road section between a target upstream charging point serving as a starting point and a target downstream charging point serving as an ending point is determined as a target road section.

In one embodiment of the present application, the target upstream charging point and the target upstream charging point are charging stations set on the expressway, and the target upstream charging point is a detection start charging station of a road section explored in the expressway; the target downstream toll station is a detection termination toll station of a road section explored in the expressway; the target road section is a road section between a target upstream charging point and a target downstream charging point in the expressway, and the detection of the traffic state is performed in the target road section.

In the step, firstly, a toll station is defined in the expressway as a starting point, namely a target upstream toll station; then, defining another toll station as an end point in the expressway, namely a target downstream toll station; finally, the expressway section between the target upstream charging point as the start point and the target downstream charging point as the end point is determined as the target section where the traffic state is desired to be detected.

For example, a city a toll station in an expressway is determined as a target upstream toll point of a start point; determining a city B toll station in the expressway as a target downstream toll point of the terminal; then the segment AB is determined to be the target segment.

S102, determining sub-road sections included in the target road section according to the setting position of the target upstream charging point, the setting position of the target downstream charging point, the arrangement position and the detection range of the detection equipment arranged in the target road section; the sub-road sections comprise actual measurement sub-road sections and fusion sub-road sections.

In one embodiment of the present application, the detection range of the detection device provided in the target road section may be divided into a section coverage and a node coverage, and the detection device whose detection range is the section coverage may detect traffic data of a section of road section; the detection equipment with the detection range being covered by the nodes can detect traffic data at one node; the arrangement position of the detection device arranged in the target road section aims at the detection device with the detection range being covered by the section, and the arrangement position can be divided into the communication of the detection range of the detection device and the non-communication of the detection range of the detection device.

Specifically, the detection device with the detection range being the coverage of the interval is a road section which can be detected by the detection device and takes the detection device as a center and takes the size of the detection range of the detection device as the length; the detection equipment with the detection range covered by the node can detect traffic data taking the detection equipment as the node; whether or not the detection ranges represented by the arrangement positions of the detection devices are connected depends on whether or not the road sections centered on the detection devices themselves and having the detection range size of the detection devices as a length are connected.

In the step, firstly, determining a road section type corresponding to a target road section according to a detection range and a layout position of detection equipment arranged in the target road section; then, determining sub-road sections included in the target road section according to the road section type corresponding to the target road section; and finally, determining the actual measurement sub-road section and the fusion sub-road section in the sub-road sections included in the target road section.

The detection equipment arranged in the actual measurement sub-road section can detect traffic data of the whole actual measurement sub-road section; the fused sub-road section is a road section which is covered by the detection equipment in the target road section and can not be completely detected by the detection equipment in the target road section, and the traffic data of the whole fused sub-road section can not be detected by the detection equipment in the target road section.

Here, in one embodiment of the present application, the link types corresponding to the target links are classified into a first type target link, a second type target link, and a third type target link. Specifically, when the detection devices arranged in the target road section are an upstream detection device and a downstream detection device, the first type of target road section is a target road section corresponding to the detection ranges of the upstream detection device and the downstream detection device in the target road section, which are covered by the section and communicated with each other; the second target road section is a target road section which is corresponding to the detection ranges of the upstream detection equipment and the downstream detection equipment in the target road section and is covered by the section and the detection ranges are not communicated; the three-type target road section is a target road section corresponding to node coverage, and the detection ranges of the upstream detection equipment and the downstream detection equipment in the target road section are both the target road section corresponding to the node coverage.

In one embodiment of the present application, when the detection range of the detection device is interval coverage and the layout position of the detection device is that the detection range is connected, the step of determining the sub-link included in the target link in step S102 may include:

s1021, determining the coverage area interval corresponding to the detection equipment as the actually measured sub-road section in the target road section.

In the step, when the detection range of the detection equipment is covered by a section and the arrangement position of the detection equipment is communicated with the detection range, firstly, determining a coverage area corresponding to the detection equipment; then, the road section covered by the coverage area corresponding to the detection device is determined as the actual measurement sub-road section in the target road section.

And S1022, determining the end points corresponding to the boundaries of the actual measured sub-road segments according to the coverage areas of the actual measured sub-road segments.

In the step, firstly, determining the road section boundary of the actual measured sub road section according to the coverage area corresponding to the actual measured sub road section in the determined target road section; and then determining the end points corresponding to the boundaries of the actually measured sub-road segments according to the road segment boundaries.

S1023, respectively determining a road section formed by the target upstream charging point, the target downstream charging point and the end point corresponding to the boundary of the actually measured sub road section adjacent to the charging point in position as a fusion sub road section in the target road section.

In this step, first, a road section between a target upstream charging point in a target road section and an end point corresponding to a boundary of an actually measured sub-road section adjacent in position to the charging point is determined as one of fused sub-road sections in the target road section; then, a road segment between a target downstream charging point in the target road segment and an end point corresponding to a boundary of the measured sub-road segment that is adjacent in position to the charging point is determined as a second merging sub-road segment in the target road segment.

Specifically, in one implementation manner of the present application, please refer to fig. 2 (a), one of the schematic division diagrams of the sub-links included in the target link provided in the embodiment of the present application is shown in fig. 2 (a), fig. 2 (a) is a schematic division diagram of the sub-links included in the target link whose corresponding link type is a type of target link, and fig. 2 (a) includes an upstream detection device with a detection range of a detection device 1 being a coverage of a section; the detection device 2 is a downstream detection device with a detection range of interval coverage; the detection ranges of the detection device 1 and the detection device 2 are communicated; the target upstream charging point and the target downstream charging point are the starting point and the end point corresponding to a type of target road section; road segment 2 and road segment 3 in fig. 2 (a) are measured sub-road segments in a type of target road segment; road segment 1 and road segment 4 in fig. 2 (a) are fusion sub-road segments in a type one target road segment.

Further, in an embodiment of the present application, when the detection range of the detection device is covered by an interval and the layout position of the detection device is that the detection range is not connected, the step of determining the sub-link included in the target link in step S102 may include:

s1024, determining the coverage area interval corresponding to the detection equipment as the actual measurement sub-road section in the target road section.

In the step, when the detection range of the detection equipment is covered by a section and the arrangement position of the detection equipment is not communicated with the detection range, firstly, determining a coverage area corresponding to the detection equipment; then, the road section covered by the coverage area corresponding to the detection device is determined as the actual measurement sub-road section in the target road section.

S1025, determining the end points corresponding to the boundaries of the actual measured sub-road segments according to the coverage areas of the actual measured sub-road segments.

In the step, firstly, determining the road section boundary of the actual measured sub road section according to the coverage area corresponding to the actual measured sub road section in the determined target road section; and then determining the end points corresponding to the boundaries of the actually measured sub-road segments according to the road segment boundaries.

And S1026, respectively determining a road section formed by the target upstream charging point, the target downstream charging point and an end point corresponding to the boundary of the actual measurement sub road section adjacent to the charging point in position and a road section between the actual measurement sub road sections as a fusion sub road section in the target road section.

In this step, first, a road section between a target upstream charging point in a target road section and an end point corresponding to a boundary of an actually measured sub-road section adjacent in position to the charging point is determined as one of fused sub-road sections in the target road section; then, a road section between a target downstream charging point in the target road section and an end point corresponding to a boundary of the actually measured sub-road section adjacent to the charging point in position is determined as a second merging sub-road section in the target road section; finally, the road segment between the two actually measured sub-road segments is determined as a third fused sub-road segment in the target road segment.

Specifically, in one implementation manner of the present application, please refer to fig. 2 (b), which is a second schematic diagram of division of sub-links included in a target link, as shown in fig. 2 (b), fig. 2 (b) is a schematic diagram of division of sub-links included in a second type target link corresponding to the target link, and fig. 2 (b) includes an upstream detection device with a detection range of a detection device 1 being a section coverage; the detection device 2 is a downstream detection device with a detection range of interval coverage; the detection ranges of the detection device 1 and the detection device 2 are not communicated; the target upstream charging point and the target downstream charging point are the starting point and the end point corresponding to the second target road section; road segment 2 and road segment 4 in fig. 2 (b) are measured sub-road segments in the type two target road segment; road segment 1, road segment 3, and road segment 5 in fig. 2 (b) are fusion sub-road segments in the type two target road segments.

Further, in an embodiment of the present application, when the detection range of the detection device is node coverage, the step of determining the sub-link included in the target link in step S102 may include:

s1027, determining the node section corresponding to the detection equipment as the actual measurement sub-section in the target section.

In the step, when the detection range of the detection equipment is node coverage, firstly, determining the node position corresponding to the detection equipment; then, the node section corresponding to the detection device is determined as the actually measured sub-section in the target section.

Here, since the detection range of the detection device is node coverage, the actually measured sub-link under the detection device is a link in the form of a node. Specifically, the detection range of the detection device is that the interval length of the actually measured sub-section in the corresponding target section covered by the node is approximately 0, and the detection device cannot detect the interval traffic data of the actually measured sub-section.

S1028, respectively taking the target upstream charging point and the target downstream charging point as the starting points of the sub-road sections, taking the detection equipment adjacent to the charging point in the layout position as the ending points of the sub-road sections, and determining the road sections between the starting points of the sub-road sections and the ending points of the sub-road sections as the fusion sub-road sections in the target road sections.

In the step, firstly, respectively determining a target upstream charging point and a target downstream charging point as the starting points of sub-road sections; then, detecting equipment adjacent to the charging point at the layout position is an end point; finally, a road segment between the start point of the sub road segment and the end point of the sub road segment is determined as a fused sub road segment in the target road segment.

Specifically, in one embodiment of the present application, please refer to fig. 2 (c), and the three-division schematic diagram of the sub-road section included in the target road section provided in the embodiment of the present application is shown in fig. 2 (c), where fig. 2 (c) is a schematic diagram of the sub-road section included in the three-type target road section corresponding to the target road section, and fig. 2 (c) includes an upstream detection device with a detection range of node coverage as a detection device 1; the detection device 2 is a downstream detection device with a detection range covered by a node; the target upstream charging point and the target downstream charging point are the starting point and the end point corresponding to the three-type target road section; the detection device 1 and the detection device 2 in fig. 2 (c) correspond to actual measurement sub-segments in the three-type target segment; road segment 1, road segment 2, and road segment 3 in fig. 2 (c) are fusion sub-road segments in the three-type target road segments.

S103, based on the detection range of the detection equipment, acquiring actual measurement traffic data corresponding to the actual measurement sub-road section acquired by the detection equipment and integral traffic data corresponding to the target road section acquired by the charging point.

In the step, when the detection range of the detection equipment is interval coverage, obtaining the actually measured traffic data corresponding to the actually measured sub-road section, wherein the actually measured traffic data collected by the detection equipment comprises the road section length, the traffic flow speed and the traffic flow density corresponding to the actually measured sub-road section; when the detection range of the detection equipment is node coverage, acquiring actual measurement traffic data corresponding to the actual measurement sub-road section acquired by the detection equipment, wherein the actual measurement traffic data comprises traffic flow and traffic flow speed corresponding to the actual measurement sub-road section; the overall traffic data corresponding to the target road section can be collected by the target upstream charging point and the target downstream charging point which are arranged in the target road section, wherein the overall traffic data comprises the road section length corresponding to the target road section, the target upstream charging point traffic flow, the target downstream charging point traffic flow, the traffic flow speed and the traffic flow density.

Here, in one embodiment of the present application, the detection device may generally include, but is not limited to, a radar and/or a camera, and the measured traffic data corresponding to the measured sub-section is obtained through radar detection and the form of a camera captured image. The traffic flow corresponding to the actually measured sub-road section is calculated through weighting according to a preset traffic flow calculation formula and the small traffic flow, the medium traffic flow, the large traffic flow and the ultra-large traffic flow corresponding to the actually measured sub-road section acquired by the detection equipment.

Specifically, the calculation method of the traffic flow corresponding to the actually measured sub-link is as follows.

。

Wherein,the traffic flow corresponding to the actual measured sub-road section; />The small traffic flow corresponding to the actual measured sub-road section; />The medium-sized traffic flow corresponding to the actual measurement sub-road section; />The large traffic flow corresponding to the actual measured sub-road section; />The ultra-large vehicle flow corresponding to the actual measured sub-road section; />Is a medium-sized vehicle flow parameter; />Is a large vehicle flow parameter; />Is an oversized vehicle flow parameter.

Here the number of the elements is the number,、/>and->The method is used for comprehensively calculating parameters corresponding to medium-sized traffic flow, large-sized traffic flow and ultra-large-sized traffic flow according to the specification of the highway traffic capability manual.

Further, the traffic flow of the target upstream charging point and the traffic flow of the target downstream charging point corresponding to the target road section included in the overall traffic data are calculated through weighting according to a preset traffic calculation formula according to the small traffic flow, the medium traffic flow, the large traffic flow and the ultra-large traffic flow corresponding to the target upstream charging point and the target downstream charging point respectively.

Specifically, the calculation methods of the target upstream toll point traffic flow and the target downstream toll point traffic flow are as follows.

。

。

Wherein,charging point traffic flow upstream of the target; / >Charging the traffic flow of the point of interest downstream; />Small traffic flow for the target upstream toll point; />Medium-sized traffic flow in the upstream toll collection point of the target; />Large traffic flow for the target upstream toll point; />Oversized traffic flow for the target upstream toll point; />Small traffic flow for a target downstream toll point; />Medium-sized for target downstream toll collection pointTraffic flow; />Large traffic flow for a target downstream toll point; />Oversized traffic flow for the target downstream toll point; />Is a medium-sized vehicle flow parameter; />Is a large vehicle flow parameter; />Is an oversized vehicle flow parameter.

Further, the traffic flow speed corresponding to the target link included in the overall traffic data is an average value of the ratio of the distance according to the target link and the time required to travel from the target upstream charging point to the target downstream charging point.

Specifically, the traffic flow speed corresponding to the target link is calculated as follows.

。

Wherein,the vehicle flow speed corresponding to the target road section; />Is a mean average function; />The road length of the target road; />The method comprises the steps of driving to a current moment corresponding to a target downstream charging point; />And driving to the current moment corresponding to the target upstream charging point.

Further, the traffic density corresponding to the target road section is a ratio of a traffic difference between the target upstream toll collection point traffic and the target downstream toll collection point traffic to a time required to travel from the target upstream toll collection point to the target downstream toll collection point.

Specifically, the traffic density corresponding to the target road section is calculated as follows.

。

Wherein,the traffic density corresponding to the target road section; />The road length of the target road; />Charging point traffic flow upstream of the target; />The target downstream toll point traffic is charged.

S104, determining the fusion traffic data corresponding to the fusion sub-road section according to a preset fusion relation by using the acquired actual measurement traffic data and the whole traffic data.

In the step, firstly, determining that the detection range is a fusion relation corresponding to interval coverage and node coverage according to the detection range of the detection equipment; then, aiming at the road section type under the condition corresponding to each detection range, according to the fusion relation corresponding to the detection range, fusing according to the actually measured traffic data and the whole traffic data; and finally, determining the fusion traffic data corresponding to the fusion sub-road section.

Here, in one embodiment of the present application, the fused traffic data corresponding to the fused sub-link includes a link length, a traffic speed, a traffic density, and a traffic correlation coefficient corresponding to the fused sub-link. The road section length corresponding to the fusion sub road section is determined according to the setting positions of the target upstream charging point and the target downstream charging point in the target road section and the layout position of the detection equipment in the target road section; the flow correlation coefficient corresponding to the fusion sub-road section is calculated according to the traffic flow in the actually measured traffic data in the target road section through a preset DTW algorithm.

In one embodiment of the present application, step S104 may include, in implementation:

s1041, when the detection range of the detection device is interval coverage, determining fusion traffic data corresponding to the fusion sub-road section by using the acquired actually measured traffic data and the whole traffic data according to a fusion relation corresponding to the interval coverage of the detection device.

In the step, when the detection range of the detection device is interval coverage, firstly, determining the road section type of the current target road section; then, corresponding traffic parameters in the obtained actual measurement traffic data and the whole traffic data are determined according to the current road section type; then, determining that the detection range of the detection equipment is a fusion relation corresponding to the interval coverage; and finally, according to the fusion relation, determining fusion traffic data corresponding to the fusion sub-road section under the current road section type aiming at the traffic parameters corresponding to the actually measured traffic data and the whole traffic data.

Specifically, in one embodiment of the present application, as shown in fig. 2 (a), in the one-type target link, the link 1 and the link 4 are fusion sub-links, and the calculation modes of the traffic flow speeds corresponding to the link 1 and the link 4 in the one-type target link are as follows.

。

Wherein,the vehicle flow speed corresponds to a road section 1 in the type target road section and a road section 4 in the type target road section; />The road section length corresponding to the target road section; />The road section length corresponding to the road section 1 in the one-type target road section; />The road section length corresponding to the road section 4 in the one-type target road section; />The road section length corresponding to the road section 2 in the one-type target road section; />The road section length corresponding to the road section 3 in the one-type target road section; />The vehicle flow speed corresponding to the target road section; />The vehicle flow speed corresponding to the section 2 in the type one target section; />Is the traffic flow speed corresponding to the road section 3 in the type one target road section.

Further, in one embodiment of the present application, as shown in fig. 2 (a), the calculation mode of the traffic density corresponding to the section 1 in the type one target section is as follows.

。

Wherein,the traffic density corresponding to the section 1 in the type one target section; />The road section length corresponding to the road section 1 in the one-type target road section; />Charging point traffic flow upstream of the target; />Is the traffic flow corresponding to the road section 2 in the type one target road section.

Further, as shown in fig. 2 (a), the calculation method of the traffic density corresponding to the link 4 in the one-type target link is as follows.

。

Wherein, The traffic density corresponding to the section 1 in the type one target section; />The road section length corresponding to the road section 4 in the one-type target road section; />Charging the traffic flow of the point of interest downstream; />Is the traffic flow corresponding to the road section 3 in the type one target road section.

Further, in one embodiment of the present application, as shown in fig. 2 (b), in the second type target link, the link 1, the link 3 and the link 5 are the merging sub-links, and the calculation modes of the traffic flow speeds corresponding to the link 1, the link 3 and the link 5 in the second type target link are as follows.

。

Wherein,the vehicle flow speeds corresponding to the road section 1, the road section 3 and the road section 5 in the second-type target road section; />The road section length corresponding to the road section 1 in the second type target road section; />The road section length corresponding to the road section 4 in the second-type target road section;the road section length corresponding to the road section 2 in the second-type target road section; />The road section length corresponding to the road section 3 in the second-type target road section; />The road section length corresponding to the road section 5 in the second-type target road section; />The vehicle flow speed corresponding to the target road section; />The vehicle flow speed corresponding to the road section 2 in the second-type target road section; />The vehicle flow speed corresponding to the road section 4 in the second type target road section; />The road section length corresponding to the target road section.

Further, in one embodiment of the present application, as shown in fig. 2 (b), the calculation method of the traffic density corresponding to the link 1 in the type two target link is as follows.

。

Wherein,the traffic density corresponding to the road section 1 in the second-type target road section; />The road section length corresponding to the road section 1 in the second type target road section; />Charging point traffic flow upstream of the target; />Is the traffic flow corresponding to the road section 2 in the type II target road section.

Further, as shown in fig. 2 (b), the calculation method of the traffic density corresponding to the link 3 in the type two target link is as follows.

。

Wherein,the traffic density corresponding to the road section 3 in the second-type target road section; />The road section length corresponding to the road section 3 in the second-type target road section; />The traffic flow corresponding to the road section 2 in the second-type target road section; />Is the traffic flow corresponding to the road section 4 in the type II target road section.

Further, as shown in fig. 2 (b), the calculation method of the traffic density corresponding to the link 5 in the type-two target link is as follows.

。

Wherein,the traffic density corresponding to the road section 5 in the second-type target road section; />The road section length corresponding to the road section 5 in the second-type target road section; />Charging the traffic flow of the point of interest downstream; />Is the traffic flow corresponding to the road section 4 in the type II target road section.

S1042, when the detection range of the detection device is node coverage, determining fusion traffic data corresponding to the fusion sub-road section by using the obtained actual measurement traffic data and the whole traffic data according to a fusion relation corresponding to the detection range of the detection device which is node coverage.

In the step, when the detection range of the detection equipment is node coverage, firstly, corresponding traffic parameters in the acquired actually measured traffic data and the whole traffic data are determined according to the current road section type; then, determining the detection range of the detection equipment as a fusion relation corresponding to node coverage; and finally, according to the fusion relation, determining fusion traffic data corresponding to the fusion sub-road section under the current road section type aiming at the traffic parameters corresponding to the actually measured traffic data and the whole traffic data.

Specifically, in one embodiment of the present application, as shown in fig. 2 (c), in the three-type target link, the link 1, the link 2, and the link 3 are the merging sub-links, and the calculation mode of the traffic speed corresponding to the link 1 in the three-type target link is as follows.

。

Wherein,the vehicle flow speed corresponding to the road section 1 in the three-type target road section; / >The vehicle flow speed corresponding to the target road section; />Is the traffic speed corresponding to the detection device 1 in the three-type target road section.

Further, the calculation method of the traffic density corresponding to the road section 1 in the three-type target road section is as follows.

。

Wherein,the traffic density corresponding to the road section 1 in the three-type target road section; />Charging point traffic flow upstream of the target; />The corresponding traffic flow of the detection equipment 1 in the three-type target road section; />The road segment length corresponding to the road segment 1 in the three-type target road segment.

Further, the calculation method of the traffic flow speed corresponding to the road section 2 in the three-type target road section is as follows.

。

Wherein,the vehicle flow speed corresponding to the road section 2 in the three-type target road section; />The vehicle flow speed corresponding to the detection equipment 1 in the three-type target road section; />Is the traffic speed corresponding to the detection device 2 in the three-type target road section.

Further, the calculation method of the traffic density corresponding to the road section 2 in the three-type target road section is as follows.

。

Wherein,the traffic density corresponding to the road section 2 in the three-type target road section; />The corresponding traffic flow of the detection equipment 1 in the three-type target road section; />The traffic flow corresponding to the detection equipment 2 in the three-type target road section; />The road segment length corresponding to the road segment 2 in the three-type target road segment.

Further, the calculation method of the traffic flow speed corresponding to the road section 3 in the three-type target road section is as follows.

。

Wherein,the vehicle flow speed corresponding to the road section 3 in the three-type target road section; />The vehicle flow speed corresponding to the target road section; />Is the traffic speed corresponding to the detection device 2 in the three-type target road section.

Further, the calculation method of the traffic density corresponding to the road section 3 in the three-type target road section is as follows.

。

Wherein,the traffic density corresponding to the road section 3 in the three-type target road section; />The traffic flow corresponding to the detection equipment 2 in the three-type target road section; />Charging the traffic flow of the point of interest downstream; />The road segment length corresponding to the road segment 3 in the three-type target road segment.

S105, inputting the actually measured traffic data, the overall traffic data and the fusion traffic data into a preset detection model to obtain the traffic state corresponding to each actually measured sub-road section and each fusion sub-road section included in the target road section output by the detection model.

Firstly, determining a traffic flow characteristic set for training and inputting data according to actual measurement traffic data, integral traffic data, fusion traffic data and calibration road traffic data; then, inputting the traffic characteristics corresponding to the actually measured sub-road sections in the traffic flow characteristic set into a first detection model to obtain traffic states indicating that each actually measured sub-road section is congested or unblocked; then, according to the result that the actually measured sub-road section is in a congestion or unblocked traffic state, determining the traffic characteristics corresponding to the fusion sub-road section in the traffic flow characteristic set to be input into the second detection model; and finally, obtaining the traffic state indicating that each merging sub-road section is congested or unimpeded.

Here, the first detection model is a detection model corresponding to the actually measured sub-section; the second detection model is a detection model corresponding to the fusion sub-road section.

Specifically, the construction process of the first detection model includes that firstly, resampling is carried out on data according to historical data acquired by a detector and a preset state detection period to obtain resampled data; then, marking traffic states of resampled data by using actually measured traffic data; and finally, explicitly taking resampled data as input, taking traffic state labels as output, and establishing a traffic state detection model based on the LightGBM model.

Further, the construction flow of the second detection model is that firstly, the traffic state of the actually measured sub-road section output by the first detection model is called; then, according to the traffic state of the actually measured sub-road section, historical data of each road section are extracted, and traffic flow characteristic parameters are calculated; then resampling the data according to a preset state detection period to obtain resampled data; then, marking traffic states of resampled data by using actually measured traffic data; and finally, definitely taking resampling data as input, traffic state labeling as output, and establishing a traffic state detection model based on the random forest model.

In one embodiment of the present application, step S105 may include, in implementation:

s1051, determining a traffic flow characteristic set corresponding to the target road section according to the actually measured traffic data, the whole traffic data and the fusion traffic data.

It should be noted that, the traffic flow feature set is a key feature set of a detection model for road section traffic state detection, and the traffic flow feature set can be used as a training feature for constructing a preset detection model and can also be used as a data support for outputting input data of road section traffic states by the detection model; specifically, in one embodiment of the present application, the traffic flow feature set includes a difference set, a traffic flow speed, a traffic flow density, and a flow correlation coefficient.

In one embodiment of the present application, step S1051 may include, in specific implementation:

s10511, obtaining a plurality of data difference values by respectively differencing the actually measured traffic data, the overall traffic data and the fusion traffic data with the calibrated road traffic data, and determining the plurality of data difference values as a difference value set in a traffic flow characteristic set corresponding to the target road section;

firstly, extracting design traffic capacity of a target road section from calibration road traffic data, wherein in one embodiment of the application, the calibration road traffic data comprises free flow, free flow speed, steady flow upper section flow speed, steady flow and steady flow speed calibrated by the target road section; then, making differences between traffic data related to the traffic flow data and the traffic flow speed in the actually measured traffic data, the overall traffic data and the fused traffic data and the calibrated road traffic data to obtain a plurality of data differences; and finally, determining the plurality of data differences as a difference set in the traffic flow characteristic set corresponding to the target road section.

S10512, determining the difference value set, the actually measured traffic data, the whole traffic data and the fusion traffic data as a traffic flow characteristic set corresponding to the target road section.

Firstly, extracting traffic data related to traffic flow data and traffic flow speed in actual measurement traffic data, overall traffic data and fusion traffic data and traffic flow association coefficients in the fusion traffic data; and then, the traffic data related to the traffic flow data and the traffic flow speed, and the flow association coefficient and the difference value set in the fusion traffic data are determined as a traffic flow characteristic set corresponding to the target road section.

S1052, inputting the traffic characteristics corresponding to each actually measured sub-road section in the traffic flow characteristic set into a detection model corresponding to the actually measured sub-road section, and obtaining the traffic state which is output by the detection model and indicates that each actually measured sub-road section in the target road section is congested or unimpeded.

Firstly, determining that the traffic characteristics corresponding to each actually measured sub-road section in the traffic flow characteristic set are the traffic flow speed, the traffic flow density and the traffic flow corresponding to the actually measured sub-road section; then, inputting a difference set in the traffic flow speed, the traffic flow density, the traffic flow and the traffic flow characteristic set corresponding to the actually measured sub-section into a first detection model corresponding to the actually measured sub-section; and obtaining a traffic state which is output by the detection model and indicates that each actually measured sub-road section in the target road section is congested or unimpeded.

S1053, determining the traffic flow characteristics corresponding to each fusion sub-road section in the traffic flow characteristic set according to the traffic state indicating that each actually measured sub-road section in the target road section is congested or unimpeded.

Firstly, determining that the indication of the previous measured sub-road section adjacent to the current fusion sub-road section in the target road section is a traffic state of congestion or smoothness; then, determining candidate data in the traffic flow feature set as the traffic flow speed, the traffic flow density, the traffic flow, the flow correlation coefficient and the traffic flow corresponding to the charging point in the whole traffic data corresponding to the merging sub-road section; and finally, determining the traffic flow characteristics corresponding to each fusion sub-road section in the traffic flow characteristic set according to the traffic state which is indicated as congestion or smoothness by the previous measured sub-road section adjacent to the current fusion sub-road section.

Specifically, in one embodiment of the present application, as shown in fig. 2 (a), when the traffic state of the road segment 2 in the type one target road segment is clear, determining that the traffic flow characteristics corresponding to the road segment 1 in the type one target road segment are the difference set, the traffic flow speed corresponding to the road segment 1 in the type one target road segment, the traffic flow corresponding to the target upstream charging point, the traffic flow corresponding to the road segment 2 in the type one target road segment, and the traffic flow correlation coefficient corresponding to the road segment 1 in the type one target road segment; and when the traffic state of the road section 2 in the one-type target road section is congestion, determining that the traffic flow characteristics corresponding to the road section 1 in the one-type target road section are determined by the traffic flow speed corresponding to the road section 1 in the one-type target road section, the traffic flow density corresponding to the road section 1 in the one-type target road section, the traffic flow corresponding to the target upstream charging point and the traffic flow corresponding to the road section 2 in the one-type target road section.

Further, as shown in fig. 2 (a), when the traffic state of the road section 3 in the one-type target road section is clear, determining that the traffic flow characteristics corresponding to the road section 4 in the one-type target road section are the difference set, the traffic flow speed corresponding to the road section 4 in the one-type target road section, the traffic flow density corresponding to the road section 4 in the one-type target road section, the traffic flow corresponding to the target downstream charging point, the traffic flow corresponding to the road section 3 in the one-type target road section, and the traffic flow correlation coefficient corresponding to the road section 4 in the one-type target road section; and when the traffic state of the road section 3 in the one-type target road section is congestion, determining that the difference set, the traffic speed corresponding to the road section 4 in the one-type target road section, the traffic density corresponding to the road section 4 in the one-type target road section, the traffic flow corresponding to the target downstream charging point and the traffic flow corresponding to the road section 3 in the one-type target road section are the traffic flow characteristics corresponding to the road section 4 in the one-type target road section.

Further, as shown in fig. 2 (b), when the traffic state of the road segment 2 in the second type target road segment is clear, determining that the traffic flow characteristics corresponding to the road segment 1 in the second type road segment are the difference set, the traffic flow speed corresponding to the road segment 1 in the second type target road segment, the traffic flow corresponding to the target upstream charging point, the traffic flow corresponding to the road segment 2 in the second type target road segment, and the traffic flow correlation coefficient corresponding to the road segment 1 in the second type target road segment; and when the traffic state of the road section 2 in the second type target road section is congestion, determining that the traffic flow characteristics corresponding to the road section 1 in the second type target road section are determined by the traffic flow speed corresponding to the road section 1 in the second type target road section, the traffic flow density corresponding to the road section 1 in the second type target road section, the traffic flow corresponding to the target upstream charging point and the traffic flow corresponding to the road section 2 in the second type target road section.

Further, as shown in fig. 2 (b), when the traffic state of the road section 4 in the second type target road section is clear, determining that the traffic flow characteristics corresponding to the road section 5 in the second type target road section are the difference set, the traffic flow speed corresponding to the road section 5 in the second type target road section, the traffic flow density corresponding to the road section 5 in the second type target road section, the traffic flow corresponding to the target downstream charging point, the traffic flow corresponding to the road section 4 in the second type target road section, and the traffic flow correlation coefficient corresponding to the road section 5 in the second type target road section; and when the traffic state of the road section 4 in the second type target road section is congestion, determining that the traffic flow characteristics corresponding to the road section 5 in the second type target road section are the difference set, the traffic flow speed corresponding to the road section 5 in the second type target road section, the traffic flow density corresponding to the road section 5 in the second type target road section, the traffic flow corresponding to the target downstream charging point and the traffic flow corresponding to the road section 4 in the second type target road section.

Further, as shown in fig. 2 (b), when the traffic states of the road section 2 and the road section 4 in the second-type target road section are both clear, determining that the traffic flow characteristics corresponding to the road section 3 in the second-type target road section are the difference set, the traffic flow speed corresponding to the road section 3 in the second-type target road section, the traffic flow corresponding to the road section 2 in the second-type target road section, the traffic flow corresponding to the road section 4 in the second-type target road section, and the traffic flow correlation coefficient corresponding to the road section 3 in the second-type target road section; and when the traffic state of at least one of the road sections 2 and 4 in the two-type target road section is congestion, determining that the difference set, the traffic speed corresponding to the road section 3 in the two-type target road section, the traffic density corresponding to the road section 3 in the two-type target road section, the traffic flow corresponding to the road section 2 in the two-type target road section and the traffic flow corresponding to the road section 4 in the two-type target road section are traffic flow characteristics corresponding to the road section 3 in the two-type target road section.

Further, as shown in fig. 2 (c), determining that the traffic flow characteristics corresponding to the road segment 1 in the three-type target road segment are determined by the difference set, the traffic flow speed corresponding to the road segment 1 in the three-type target road segment, the traffic flow corresponding to the target upstream charging point, the traffic flow corresponding to the detection device 1 in the three-type target road segment and the traffic flow correlation coefficient corresponding to the road segment 1 in the three-type target road segment; determining traffic flow characteristics corresponding to the road section 2 in the three-type target road section by using a difference set, traffic flow speed corresponding to the road section 2 in the three-type target road section, traffic flow corresponding to the detection device 1 in the three-type target road section, traffic flow corresponding to the detection device 2 in the three-type target road section and a flow correlation coefficient corresponding to the road section 2 in the three-type target road section; and determining that the traffic flow characteristics corresponding to the road section 3 in the three-type target road section are the difference set, the traffic flow speed corresponding to the road section 3 in the three-type target road section, the traffic flow corresponding to the detection device 2 in the three-type target road section, the traffic flow corresponding to the target downstream charging point and the traffic flow correlation coefficient corresponding to the road section 3 in the three-type target road section.

S1054, inputting the traffic flow characteristics corresponding to each fusion sub-road section into a detection model corresponding to the fusion sub-road section, and obtaining the traffic state which is output by the detection model and indicates that each fusion sub-road section in the target road section is congested or unimpeded.

In the step, the traffic flow characteristic data in the traffic flow characteristics corresponding to the determined fusion sub-road sections are input into a second detection model corresponding to the fusion sub-road sections, and the traffic state which is output by the detection model and indicates that each fusion sub-road section in the target road section is congested or unimpeded is obtained.

According to the road section traffic state detection method, a road section between a target upstream charging point serving as a starting point and a target downstream charging point serving as an ending point is determined to be a target road section; determining sub-road sections included in the target road section according to the setting position of the target upstream charging point, the setting position of the target downstream charging point, the layout position and the detection range of the detection equipment arranged in the target road section; the sub-road sections comprise actual measurement sub-road sections and fusion sub-road sections; based on the detection range of the detection equipment, acquiring actual measurement traffic data corresponding to the actual measurement sub-road section acquired by the detection equipment and integral traffic data corresponding to the target road section acquired by the charging point; determining fusion traffic data corresponding to the fusion sub-road section according to a preset fusion relation by using the acquired actual measurement traffic data and the whole traffic data; and inputting the actually measured traffic data, the whole traffic data and the fused traffic data into a preset detection model to obtain the traffic state respectively corresponding to each actually measured sub-road section and each fused sub-road section included in the target road section output by the detection model. In this way, the target road sections are divided according to the positions of the detection points and the coverage areas of the detection points, and then the actually measured data in the road sections are fused to detect the traffic states of all road sections in the target road sections, so that the effects of homogeneous enhancement and heterogeneous complementation of the multi-source traffic data are achieved, the fine detection of the traffic states of the road sections is realized, and the real-time performance and the accuracy of the traffic states of the detected road sections are further improved.

Referring to fig. 3, fig. 3 is a schematic structural diagram of a road traffic state detection device according to an embodiment of the present application. As shown in fig. 3, the detecting device 300 includes:

a first road segment determining module 310, configured to determine a road segment between a target upstream charging point as a starting point and a target downstream charging point as an ending point as a target road segment;

a second road segment determining module 320, configured to determine a sub road segment included in the target road segment according to the set position of the target upstream charging point, the set position of the target downstream charging point, the layout position and the detection range of the detection device set in the target road segment; the sub-road sections comprise actual measurement sub-road sections and fusion sub-road sections;

the data acquisition module 330 is configured to acquire, based on a detection range of the detection device, actual measurement traffic data corresponding to the actual measurement sub-road section acquired by the detection device, and overall traffic data corresponding to the target road section acquired by the charging point;

the data fusion module 340 is configured to determine, according to a preset fusion relationship, fusion traffic data corresponding to the fusion sub-road section using the obtained actual measurement traffic data and the overall traffic data;

The traffic state detection module 350 is configured to input the measured traffic data, the overall traffic data, and the fused traffic data into a preset detection model, and obtain a traffic state corresponding to each measured sub-road segment and each fused sub-road segment included in the target road segment output by the detection model.

Further, when the detection range of the detection device is coverage of an interval and the layout position of the detection device is that the detection range is connected, the second road segment determining module 320 is configured to, when configured to determine a sub road segment included in the target road segment, the second road segment determining module 320 is configured to:

determining a coverage area interval corresponding to the detection equipment as an actual measurement sub-section in the target section;

determining an endpoint corresponding to the boundary of the measured sub-road section according to the coverage area of the measured sub-road section;

and respectively determining a road section formed by the target upstream charging point, the target downstream charging point and an end point corresponding to the boundary of the actually measured sub road section adjacent to the charging point in position as a fusion sub road section in the target road section.

Further, when the detection range of the detection device is coverage of an interval and the layout position of the detection device is that the detection range is not connected, the second road segment determining module 320 is configured to, when determining the sub road segment included in the target road segment, the second road segment determining module 320 is configured to:

Determining a coverage area interval corresponding to the detection equipment as an actual measurement sub-section in the target section;

determining an endpoint corresponding to the boundary of the measured sub-road section according to the coverage area of the measured sub-road section;

and respectively determining a road section formed by the target upstream charging point, the target downstream charging point and an end point corresponding to the boundary of the actual measurement sub road section adjacent to the charging point in position and a road section between the actual measurement sub road sections as a fusion sub road section in the target road section.

Further, when the detection range of the detection device is node coverage, the second road segment determining module 320 is configured to, when determining the sub road segment included in the target road segment, the second road segment determining module 320 is configured to:

determining a node section corresponding to the detection equipment as an actual measurement sub-section in the target section;

and respectively taking the target upstream charging point and the target downstream charging point as the starting points of the sub-road sections, taking the detection equipment adjacent to the charging point in the layout position as the ending points of the sub-road sections, and determining the road sections between the starting points of the sub-road sections and the ending points of the sub-road sections as the fusion sub-road sections in the target road sections.

Further, when the data fusion module 340 is configured to determine, according to a preset fusion relationship, the fusion traffic data corresponding to the fusion sub-road section by using the obtained actual traffic data and the overall traffic data, the data fusion module 340 is configured to:

when the detection range of the detection equipment is interval coverage, determining fusion traffic data corresponding to the fusion sub-road section by using the acquired actually measured traffic data and the whole traffic data according to a fusion relation corresponding to the interval coverage of the detection range of the detection equipment;

when the detection range of the detection equipment is node coverage, determining fusion traffic data corresponding to the fusion sub-road section by using the acquired actually measured traffic data and the whole traffic data according to a fusion relation corresponding to the detection range of the detection equipment which is node coverage.

Further, when the traffic state detection module 350 is configured to input the measured traffic data, the overall traffic data, and the fused traffic data into a preset detection model to obtain a traffic state corresponding to each measured sub-link and each fused sub-link included in the target link output by the detection model, the traffic state detection module 350 is configured to:

Determining a traffic flow characteristic set corresponding to the target road section according to the actually measured traffic data, the overall traffic data and the fusion traffic data;

inputting the traffic characteristics corresponding to each actually measured sub-road section in the traffic flow characteristic set into a detection model corresponding to the actually measured sub-road section to obtain a traffic state which is output by the detection model and indicates that each actually measured sub-road section in the target road section is congested or unblocked;

determining traffic flow characteristics corresponding to each fusion sub-road section in the traffic flow characteristic set according to the traffic state indicating that each actually measured sub-road section in the target road section is congested or unimpeded;

and inputting the traffic flow characteristics corresponding to each fusion sub-road section into a detection model corresponding to the fusion sub-road section to obtain a traffic state which is output by the detection model and indicates that each fusion sub-road section in the target road section is congested or unimpeded.

Further, when the traffic state detection module 350 is configured to determine a traffic flow feature set corresponding to the target road segment according to the measured traffic data, the overall traffic data and the fused traffic data, the traffic state detection module 350 is configured to:

Respectively differencing the actually measured traffic data, the overall traffic data and the fusion traffic data with the calibrated road traffic data to obtain a plurality of data difference values, and determining the plurality of data difference values as a difference value set in a traffic flow characteristic set corresponding to the target road section;

and determining the difference value set, the actually measured traffic data, the whole traffic data and the fusion traffic data as a traffic flow characteristic set corresponding to the target road section.

The road section traffic state detection device provided by the embodiment of the application determines a road section between a target upstream charging point as a starting point and a target downstream charging point as an ending point as a target road section; determining sub-road sections included in the target road section according to the setting position of the target upstream charging point, the setting position of the target downstream charging point, the layout position and the detection range of the detection equipment arranged in the target road section; the sub-road sections comprise actual measurement sub-road sections and fusion sub-road sections; based on the detection range of the detection equipment, acquiring actual measurement traffic data corresponding to the actual measurement sub-road section acquired by the detection equipment and integral traffic data corresponding to the target road section acquired by the charging point; determining fusion traffic data corresponding to the fusion sub-road section according to a preset fusion relation by using the acquired actual measurement traffic data and the whole traffic data; and inputting the actually measured traffic data, the whole traffic data and the fused traffic data into a preset detection model to obtain the traffic state respectively corresponding to each actually measured sub-road section and each fused sub-road section included in the target road section output by the detection model. In this way, the target road sections are divided according to the positions of the detection points and the coverage areas of the detection points, and then the actually measured data in the road sections are fused to detect the traffic states of all road sections in the target road sections, so that the effects of homogeneous enhancement and heterogeneous complementation of the multi-source traffic data are achieved, the fine detection of the traffic states of the road sections is realized, and the real-time performance and the accuracy of the traffic states of the detected road sections are further improved.

Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 4, the electronic device 400 includes a processor 410, a memory 420, and a bus 430.

The memory 420 stores machine-readable instructions executable by the processor 410, when the electronic device 400 is running, the processor 410 communicates with the memory 420 through the bus 430, and when the machine-readable instructions are executed by the processor 410, the steps of the method for detecting the road traffic state in the method embodiment shown in fig. 1 can be executed, and the specific implementation manner can be referred to the method embodiment and will not be described herein.

The embodiment of the present application further provides a computer readable storage medium, where a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the steps of the method for detecting a road traffic state in the method embodiment shown in fig. 1 may be executed, and a specific implementation manner may refer to the method embodiment and will not be described herein.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Finally, it should be noted that: the foregoing examples are merely specific embodiments of the present application, and are not intended to limit the scope of the present application, but the present application is not limited thereto, and those skilled in the art will appreciate that while the foregoing examples are described in detail, the present application is not limited thereto. Any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or make equivalent substitutions for some of the technical features within the technical scope of the disclosure of the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method for detecting a traffic state of a road segment, the method comprising:

determining a road section between a target upstream charging point as a starting point and a target downstream charging point as an ending point as a target road section;

determining sub-road sections included in the target road section according to the setting position of the target upstream charging point, the setting position of the target downstream charging point, the layout position and the detection range of the detection equipment arranged in the target road section; the sub-road sections comprise actual measurement sub-road sections and fusion sub-road sections;

based on the detection range of the detection equipment, acquiring actual measurement traffic data corresponding to the actual measurement sub-road section acquired by the detection equipment and integral traffic data corresponding to the target road section acquired by the charging point;

determining fusion traffic data corresponding to the fusion sub-road section according to a preset fusion relation by using the acquired actual measurement traffic data and the whole traffic data;

and inputting the actually measured traffic data, the whole traffic data and the fused traffic data into a preset detection model to obtain the traffic state respectively corresponding to each actually measured sub-road section and each fused sub-road section included in the target road section output by the detection model.

2. The method according to claim 1, wherein the step of determining the sub-link included in the target link when the detection range of the detection device is a section coverage and the layout position of the detection device is the detection range communication includes:

determining a coverage area interval corresponding to the detection equipment as an actual measurement sub-section in the target section;

determining an endpoint corresponding to the boundary of the measured sub-road section according to the coverage area of the measured sub-road section;

and respectively determining a road section formed by the target upstream charging point, the target downstream charging point and an end point corresponding to the boundary of the actually measured sub road section adjacent to the charging point in position as a fusion sub road section in the target road section.

3. The method according to claim 1, wherein the step of determining the sub-section included in the target section when the detection range of the detection device is an interval coverage and the arrangement position of the detection device is that the detection range is not connected includes:

determining a coverage area interval corresponding to the detection equipment as an actual measurement sub-section in the target section;

determining an endpoint corresponding to the boundary of the measured sub-road section according to the coverage area of the measured sub-road section;

And respectively determining a road section formed by the target upstream charging point, the target downstream charging point and an end point corresponding to the boundary of the actual measurement sub road section adjacent to the charging point in position and a road section between the actual measurement sub road sections as a fusion sub road section in the target road section.

4. The method according to claim 1, wherein the step of determining the sub-link included in the target link when the detection range of the detection device is node coverage includes:

determining a node section corresponding to the detection equipment as an actual measurement sub-section in the target section;

and respectively taking the target upstream charging point and the target downstream charging point as the starting points of the sub-road sections, taking the detection equipment adjacent to the charging point in the layout position as the ending points of the sub-road sections, and determining the road sections between the starting points of the sub-road sections and the ending points of the sub-road sections as the fusion sub-road sections in the target road sections.

5. The method of claim 1, wherein the determining, using the obtained measured traffic data and the overall traffic data, the fused traffic data corresponding to the fused sub-link according to a preset fusion relationship, comprises:

When the detection range of the detection equipment is interval coverage, determining fusion traffic data corresponding to the fusion sub-road section by using the acquired actually measured traffic data and the whole traffic data according to a fusion relation corresponding to the interval coverage of the detection range of the detection equipment;

when the detection range of the detection equipment is node coverage, determining fusion traffic data corresponding to the fusion sub-road section by using the acquired actually measured traffic data and the whole traffic data according to a fusion relation corresponding to the detection range of the detection equipment which is node coverage.

6. The method according to claim 1, wherein the inputting the measured traffic data, the overall traffic data, and the fused traffic data into a preset detection model to obtain the traffic state respectively corresponding to each measured sub-link and each fused sub-link included in the target link output by the detection model includes:

determining a traffic flow characteristic set corresponding to the target road section according to the actually measured traffic data, the overall traffic data and the fusion traffic data;

inputting the traffic characteristics corresponding to each actually measured sub-road section in the traffic flow characteristic set into a detection model corresponding to the actually measured sub-road section to obtain a traffic state which is output by the detection model and indicates that each actually measured sub-road section in the target road section is congested or unblocked;

Determining traffic flow characteristics corresponding to each fusion sub-road section in the traffic flow characteristic set according to the traffic state indicating that each actually measured sub-road section in the target road section is congested or unimpeded;

and inputting the traffic flow characteristics corresponding to each fusion sub-road section into a detection model corresponding to the fusion sub-road section to obtain a traffic state which is output by the detection model and indicates that each fusion sub-road section in the target road section is congested or unimpeded.

7. The method of claim 6, wherein the determining the traffic flow feature set corresponding to the target road segment from the measured traffic data, the overall traffic data, and the fused traffic data comprises:

respectively differencing the actually measured traffic data, the overall traffic data and the fusion traffic data with the calibrated road traffic data to obtain a plurality of data difference values, and determining the plurality of data difference values as a difference value set in a traffic flow characteristic set corresponding to the target road section;

and determining the difference value set, the actually measured traffic data, the whole traffic data and the fusion traffic data as a traffic flow characteristic set corresponding to the target road section.

8. A road traffic state detection device, characterized in that the detection device comprises:

the first road segment determining module is used for determining a road segment between the target upstream charging point serving as a starting point and the target downstream charging point serving as an ending point as a target road segment;

a second road section determining module, configured to determine a sub road section included in the target road section according to a setting position of the target upstream charging point, a setting position of the target downstream charging point, a layout position and a detection range of a detection device set in the target road section; the sub-road sections comprise actual measurement sub-road sections and fusion sub-road sections;

the data acquisition module is used for acquiring actual measurement traffic data corresponding to the actual measurement sub-road section acquired by the detection equipment and integral traffic data corresponding to the target road section acquired by the charging point based on the detection range of the detection equipment;

the data fusion module is used for determining fusion traffic data corresponding to the fusion sub-road section according to a preset fusion relation by using the acquired actual measurement traffic data and the whole traffic data;

and the traffic state detection module is used for inputting the actually measured traffic data, the overall traffic data and the fusion traffic data into a preset detection model to obtain the traffic state corresponding to each actually measured sub-road section and each fusion sub-road section included in the target road section output by the detection model.

9. An electronic device, comprising: a processor, a memory and a bus, said memory storing machine readable instructions executable by said processor, said processor and said memory communicating via said bus when the electronic device is running, said machine readable instructions being executed by said processor to perform the steps of the road segment traffic condition detection method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the road segment traffic state detection method according to any one of claims 1 to 7.