CN114512001A

CN114512001A - Regional traffic monitoring method, device, electronic apparatus, medium, and program product

Info

Publication number: CN114512001A
Application number: CN202210043405.8A
Authority: CN
Inventors: 胡才益; 余海峰; 陶紫洁; 符栋栋; 包瑗珲; 张有胜; 刘腾; 刘浩
Original assignee: Alibaba Singapore Holdings Pte Ltd
Current assignee: Alibaba Innovation Co
Priority date: 2022-01-14
Filing date: 2022-01-14
Publication date: 2022-05-17
Anticipated expiration: 2042-01-14
Also published as: CN114512001B

Abstract

The embodiment of the disclosure discloses a method, a device, an electronic device, a medium and a program product for monitoring regional traffic, wherein the method comprises the following steps: acquiring traffic geographic information of a target area from a geographic space database; based on the traffic geographic information, current road condition data, mobile positioning data and traffic event data of the target area are inquired and obtained from a corresponding database; performing data analysis on the current road condition data, the mobile positioning data and the traffic event data of the target area to acquire the current road traffic state information, the current passenger flow state information and the current event state information of the target area; and outputting the current road traffic state information, the current passenger flow state information and the current event state information of the target area. By the technical scheme, the urban traffic management department can timely find out whether emergencies affecting the travel of people, such as traffic accidents, passenger flow congestion, traffic congestion and the like, occur in the target area, so that the problems can be timely solved, and the working efficiency is improved.

Description

Regional traffic monitoring method, device, electronic apparatus, medium, and program product

Technical Field

The embodiment of the disclosure relates to the technical field of traffic data processing, in particular to a regional traffic monitoring method, a device, electronic equipment, a medium and a program product.

Background

In the process of city management, traffic organizations and operation support schemes need to be designed for key areas capable of attracting a large amount of passenger flows in holidays, major activities or daily management, so that basic traffic trips of urban residents are guaranteed, and therefore the traffic conditions of the key areas need to be monitored by city management departments, particularly the traffic management departments. However, in the current traffic condition monitoring method for key areas, traffic condition analysis is performed based on cross-section traffic condition information acquired by acquisition equipment arranged at a fixed position one or several days ago to obtain and display historical traffic condition states, and passenger flow analysis is performed based on passenger flow sampling survey to obtain and display historical passenger flow states. According to the existing monitoring scheme, the traffic management department can only detect the historical road condition state and the historical passenger flow state of a key area, and if emergencies such as traffic accidents, congestion events and the like occur in the key area capable of attracting a large amount of passenger flow, the traffic management department can not timely find the emergencies and process the emergencies through the monitored historical road condition state and the historical passenger flow state, so that the situations such as long-time traffic congestion, passenger flow congestion and the like can be caused, the traveling experience of people is influenced, therefore, how to enable the traffic management department to timely find and solve problems is realized, and the traveling experience of people is improved to become the problem to be solved urgently at present.

Disclosure of Invention

The embodiment of the disclosure provides a regional traffic monitoring method, a regional traffic monitoring device, electronic equipment, a medium and a program product.

In a first aspect, an embodiment of the present disclosure provides a regional traffic monitoring method.

Specifically, the regional traffic monitoring method includes:

acquiring traffic geographic information of a target area from a geographic space database;

based on the traffic geographic information, current road condition data, mobile positioning data and traffic event data of the target area are inquired and obtained from a corresponding database;

performing data analysis on the current road condition data, the mobile positioning data and the traffic event data of the target area to acquire current road traffic state information, passenger flow state information and event state information of the target area;

and outputting the current road traffic state information, the current passenger flow state information and the current event state information of the target area.

With reference to the first aspect, in a first implementation manner of the first aspect, an embodiment of the present disclosure further includes:

based on the traffic geographic information, inquiring and acquiring current planning navigation data of the target area from a navigation database;

performing data analysis on the current road condition data, the planning navigation data and the mobile positioning data of the target area, and predicting future road traffic state information and passenger flow state information of the target area;

and outputting the future road traffic state information and the passenger flow state information of the target area.

With reference to the first aspect and the first implementation manner of the first aspect, an embodiment of the present disclosure is implemented in a second implementation manner of the first aspect, wherein the traffic geographic information includes boundary information of the target area, a point of interest (POI) in the target area, and road segment information.

With reference to the first aspect and the foregoing implementation manner of the first aspect, in a third implementation manner of the first aspect, the performing data analysis on the current road condition data, the mobile positioning data, and the traffic event data of the target area to obtain current road traffic state information, passenger flow state information, and event state information of the target area includes:

performing data analysis on the current road condition data of the target area to acquire the current road traffic state information of the target area;

performing data analysis on the current mobile positioning data of the target area to acquire the current passenger flow state information of the target area;

and performing data analysis on the current mobile positioning data and the traffic event data of the target area to acquire the current event state information of the target area.

With reference to the first aspect and the foregoing implementation manner of the first aspect, in a fourth implementation manner of the first aspect, the performing data analysis on the current road condition data of the target area to obtain the current road traffic state information of the target area includes:

calculating a real-time congestion index of each road section in the target area, wherein the real-time congestion index is a real-time traffic parameter/a traffic parameter under a free flow condition;

carrying out weighted average on the real-time congestion indexes of all road sections in the target area to obtain the real-time congestion index of the target area;

determining the current traffic jam state of the target area according to the real-time jam index of the target area according to the corresponding relation between the preset real-time jam index and the traffic jam state;

wherein the current road traffic status information of the target area comprises at least one of a real-time congestion index and a current traffic congestion status of the target area.

With reference to the first aspect and the foregoing implementation manner of the first aspect, in a fifth implementation manner of the first aspect, the performing weighted average on the real-time congestion indexes of the road segments in the target area to obtain the real-time congestion index of the target area includes:

inquiring traffic flow of each road section in the target area from a corresponding database based on the traffic geographic information;

determining the weight corresponding to each road section in the target area according to the traffic flow of each road section in the target area;

and performing weighted average calculation on the real-time congestion index of each road section in the target area based on the weight corresponding to each road section in the target area to obtain the real-time congestion index of the target area.

With reference to the first aspect and the foregoing implementation manner of the first aspect, the present disclosure is implemented in a sixth implementation manner of the first aspect, where the performing data analysis on the current movement positioning data of the target area to obtain the current passenger flow state information of the target area includes:

counting the current mobile positioning data of the target area to obtain the real-time passenger flow volume of the target area;

calculating a real-time passenger flow congestion index of the target area, wherein the real-time passenger flow congestion index is the real-time passenger flow volume of the target area/the passenger flow capacity of the target area;

determining the current passenger flow congestion state of the target area according to the real-time passenger flow congestion index of the target area according to the corresponding relation between the preset real-time passenger flow congestion index and the passenger flow congestion state;

wherein the current passenger flow status information of the target area comprises at least one of a real-time passenger flow congestion index and a current passenger flow congestion status of the target area.

With reference to the first aspect and the foregoing implementation manner of the first aspect, the present disclosure is implemented in a seventh implementation manner of the first aspect, where the performing data analysis on the current movement positioning data and the traffic event data of the target area to obtain the current event state information of the target area includes:

counting the real-time traffic incident amount in the target area from the monitoring starting moment to the current moment based on the current traffic incident data of the target area;

and counting the number of mobile positioning within a preset range from the position of the traffic event in the target area based on the current mobile positioning data and the traffic event data of the target area to obtain an event influence number index of the target area, wherein the event influence number index is the sum of the accumulated influence numbers of the traffic events in the target area from the monitoring starting moment to the current moment.

With reference to the first aspect and the foregoing implementation manner of the first aspect, in an eighth implementation manner of the first aspect, the performing data analysis on the current road condition data of the target area to obtain the current road traffic status information of the target area further includes:

and performing data analysis on the current road condition data of the target area to acquire abnormal congestion information in the target area.

With reference to the first aspect and the foregoing implementation manner of the first aspect, the present disclosure is directed to a ninth implementation manner of the first aspect, where the performing data analysis on the current road condition data, the planning navigation data, and the mobile positioning data of the target area to predict future road traffic state information and passenger flow state information of the target area includes:

performing data analysis on the current planning navigation data and road condition data of the target area, and predicting a traffic flow predicted value of the target area at a future moment;

calculating the traffic flow increment of the target area at the future moment;

obtaining a historical congestion index trend based on the real-time congestion index of each historical moment;

predicting the traffic jam state of the target area at the future moment according to the historical congestion index trend and the traffic flow increment;

counting the current mobile positioning data of the target area, and determining the current passenger flow rate value of the target area;

predicting a passenger flow volume predicted value of the target area at a future moment based on the current planning navigation data and the mobile positioning data of the target area;

calculating the passenger flow increment of the target area at the future moment;

and predicting the passenger flow congestion state of the target area at the future moment according to the real-time passenger flow congestion index of the target area and the passenger flow increment.

In a second aspect, an embodiment of the present disclosure provides a regional traffic monitoring device.

Specifically, the regional traffic monitoring device includes:

the static area data acquisition module is configured to acquire traffic geographic information of the target area from a geographic space database;

the dynamic area data acquisition module is configured to query and acquire current road condition data, mobile positioning data and traffic event data of the target area from a corresponding database based on the traffic geographic information;

the road traffic state monitoring module is configured to perform data analysis on the current road condition data of the target area and acquire the current road traffic state information of the target area;

the passenger flow state monitoring module is configured to perform data analysis on the current mobile positioning data of the target area and acquire current passenger flow state information of the target area;

the event state monitoring module is configured to perform data analysis on the current mobile positioning data and the traffic event data of the target area and acquire current event state information of the target area;

and the first output module is configured to output the current road traffic state information, the current passenger flow state information and the current event state information of the target area.

With reference to the second aspect, the present disclosure provides, in a first implementation form of the first aspect,

the dynamic area data acquisition module is further configured to query and acquire current planning navigation data of the target area from a navigation database based on the traffic geographic information;

the road traffic state prediction module is configured to perform data analysis on the current road condition data and the planning navigation data of the target area and predict future road traffic state information of the target area;

the passenger flow state prediction module is configured to perform data analysis on the current mobile positioning data and planning navigation data of the target area and predict future passenger flow state information of the target area;

the first output module is further configured to output future road traffic state information and passenger flow state information of the target area.

In a third aspect, an embodiment of the present disclosure provides a regional traffic monitoring device.

Specifically, the regional traffic monitoring device includes:

the first acquisition module is configured to acquire traffic geographic information of the target area from a geographic space database;

the second acquisition module is configured to acquire current road condition data, mobile positioning data and traffic event data of the target area from a corresponding database in a query mode based on the traffic geographic information;

the third acquisition module is configured to perform data analysis on the current road condition data, the mobile positioning data and the traffic event data of the target area, and acquire current road traffic state information, passenger flow state information and event state information of the target area;

and the second output module is configured to output the current road traffic state information, the current passenger flow state information and the current event state information of the target area.

With reference to the third aspect, in a first implementation manner of the third aspect, the apparatus in this embodiment of the present disclosure further includes:

the fourth acquisition module is configured to query and acquire current planning navigation data of the target area from a navigation database based on the traffic geographic information;

the first prediction module is configured to perform data analysis on the current road condition data, the planning navigation data and the mobile positioning data of the target area, and predict future road traffic state information and passenger flow state information of the target area;

a third output module configured to output future road traffic status information and passenger flow status information of the target area.

With reference to the third aspect and the first implementation manner of the third aspect, in a second implementation manner of the third aspect, the traffic geographic information includes boundary information of the target area, a point of interest POI in the target area, and road segment information.

With reference to the third aspect and the foregoing implementation manners of the third aspect, the present disclosure is in a third implementation manner of the third aspect, wherein the third obtaining module is configured to:

With reference to the third aspect and the foregoing implementation manner of the third aspect, the present disclosure is directed to a fourth implementation manner of the third aspect, wherein the current road condition data includes real-time traffic parameters of each road segment, and the third obtaining module is configured to perform data analysis on the current road condition data of the target area to obtain a current road traffic status information of the target area, and is configured to:

With reference to the third aspect and the foregoing implementation manner of the third aspect, in a fifth implementation manner of the third aspect, the third obtaining module is configured to perform weighted average on the real-time congestion indexes of the road segments in the target area to obtain a part of the real-time congestion index of the target area, and configured to:

With reference to the third aspect and the foregoing implementation manner of the third aspect, the present disclosure is directed to a sixth implementation manner of the third aspect, wherein the third obtaining module is configured to perform data analysis on the current movement positioning data of the target area to obtain a current passenger flow status information of the target area, and the third obtaining module is configured to:

With reference to the third aspect and the foregoing implementation manner of the third aspect, the present disclosure is directed to a seventh implementation manner of the third aspect, wherein the third obtaining module is configured to perform data analysis on the current movement positioning data and the traffic event data of the target area, and obtain a current event state information of the target area, and the third obtaining module is configured to:

With reference to the third aspect and the foregoing implementation manner of the third aspect, in an eighth implementation manner of the third aspect, the third obtaining module is configured to perform data analysis on the current road condition data of the target area to obtain a current road traffic status information of the target area, and is configured to:

With reference to the third aspect and the foregoing implementation manner of the third aspect, the present disclosure is in a ninth implementation manner of the third aspect, wherein the first prediction module is configured to:

calculating the traffic flow increment of the target area at the future moment;

In a fourth aspect, the disclosed embodiments provide an electronic device, including a memory for storing computer instructions that support one or more regional traffic monitoring devices to perform the above-described regional traffic monitoring method, and a processor configured to execute the computer instructions stored in the memory. The regional traffic monitoring apparatus may further include a communication interface for the regional traffic monitoring apparatus to communicate with other devices or a communication network.

In a fifth aspect, embodiments of the present disclosure provide a computer-readable storage medium for storing computer instructions for a regional traffic monitoring device, which includes computer instructions for performing the above-mentioned regional traffic monitoring method to be referred to as a regional traffic monitoring device.

In a sixth aspect, the disclosed embodiments provide a computer program product comprising a computer program/instructions, wherein the computer program/instructions, when executed by a processor, implement the steps in the above-mentioned regional traffic monitoring method.

In a seventh aspect, an embodiment of the present disclosure provides a navigation method, where a navigation route calculated based on at least a start point, an end point, and a regional traffic monitoring condition is obtained, and navigation guidance is performed based on the navigation route, where the regional traffic monitoring condition is implemented based on any one of the methods in claims 1 to 10.

The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:

according to the technical scheme, the current road traffic state information, the passenger flow state information and the event state information of the target area can be obtained and output from three dimension analysis of the traffic jam degree, the passenger flow jam degree and the influence degree of an event on traffic based on the current road condition data, the mobile positioning data and the traffic event data of the target area, so that whether an emergency event influencing people to go out, such as a traffic accident, passenger flow jam, traffic jam and the like, occurs in the target area or not can be timely found by checking the output current road traffic state information, passenger flow state information and event state information of the target area in real time in daily inspection and emergency management processes, the problem can be timely solved, and the working efficiency is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of embodiments of the disclosure.

Drawings

Other features, objects, and advantages of embodiments of the disclosure will become more apparent from the following detailed description of non-limiting embodiments when taken in conjunction with the accompanying drawings. In the drawings:

FIG. 1 shows a flow diagram of a regional traffic monitoring method according to an embodiment of the present disclosure;

FIG. 2 illustrates a block diagram of a regional traffic monitoring device according to an embodiment of the present disclosure;

FIG. 3 shows a block diagram of a regional traffic monitoring device according to an embodiment of the present disclosure;

FIG. 4 shows a block diagram of an electronic device according to an embodiment of the present disclosure;

FIG. 5 is a schematic block diagram of a computer system suitable for use in implementing a regional traffic monitoring method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, exemplary embodiments of the disclosed embodiments will be described in detail with reference to the accompanying drawings so that they can be easily implemented by those skilled in the art. Also, for the sake of clarity, parts not relevant to the description of the exemplary embodiments are omitted in the drawings.

In the disclosed embodiments, it is to be understood that terms such as "including" or "having," etc., are intended to indicate the presence of the disclosed features, numbers, steps, behaviors, components, parts, or combinations thereof, and are not intended to preclude the possibility that one or more other features, numbers, steps, behaviors, components, parts, or combinations thereof may be present or added.

It should be further noted that the embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict. The embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

The technical scheme provided by the embodiment of the disclosure provides a regional traffic monitoring method, which is based on current road condition data, mobile positioning data and traffic event data of a target region, and analyzes three dimensions of traffic jam degree, passenger flow jam degree and influence degree of an event on traffic to obtain and output current road traffic state information, passenger flow state information and event state information of the target region, so that whether an emergency event influencing people to go out, such as a traffic accident, passenger flow jam, traffic jam and the like, occurs in the target region or not can be timely found by checking the output current road traffic state information, passenger flow state information and event state information of the target region in real time in daily inspection and emergency management processes by an urban traffic management department, and further the problems can be timely solved and the working efficiency is improved.

Fig. 1 shows a flowchart of a regional traffic monitoring method according to an embodiment of the present disclosure, as shown in fig. 1, the regional traffic monitoring method includes the following steps S101-S104:

in step S101, acquiring traffic geographic information of a target area from a geographic space database;

in step S102, based on the traffic geographic information, current road condition data, mobile positioning data, and traffic event data of the target area are obtained from a corresponding database;

in step S103, performing data analysis on the current road condition data, the mobile positioning data and the traffic event data of the target area to obtain current road traffic state information, passenger flow state information and event state information of the target area;

in step S104, the current road traffic state information, the passenger flow state information, and the event state information of the target area are output.

In an embodiment of the present disclosure, the regional traffic monitoring method may be applied to electronic devices such as a computer, a computing device, a server, and a service cluster, which may perform regional traffic monitoring.

In an embodiment of the present disclosure, the electronic device may be an inspection large-screen device, or may be another electronic device that communicates with the inspection large-screen device. For example, the large inspection screen device may be a large inspection screen terminal for urban traffic control, and if the electronic device is the large inspection screen terminal for urban traffic control, the large inspection screen terminal for urban traffic control may perform the above steps S101 to S104 in real time, and display the current road traffic state information, the current passenger flow state information, and the current event state information of the target area on the screen of the large inspection screen terminal for urban traffic control, or may display the current road traffic state information, the current passenger flow state information, and the current event state information of the target area on the screen of the large inspection screen device when receiving a traffic monitoring request instruction for the target area, which is input by a monitoring person and sent by the large inspection screen device. If the electronic device is another electronic device communicating with the large-screen inspection device, the electronic device may execute steps S101 to S104 to send the current road traffic state information, the current passenger flow state information, and the current event state information of the target area to the large-screen inspection device in real time, or may send the current road traffic state information, the current passenger flow state information, and the current event state information of the target area to the large-screen inspection device when receiving a traffic monitoring request message for the target area, which is input by a monitoring person and sent by the large-screen inspection device; for example, when an employee of a city traffic management department needs to know traffic conditions of a certain target area, a traffic monitoring request message for the target area can be input through an input device, such as a touch screen or a keyboard, of the city traffic inspection large-screen terminal, the traffic monitoring request message is used for requesting to acquire traffic condition information of the target area, after receiving the traffic monitoring request command, the city traffic inspection large-screen terminal sends the traffic monitoring request message for the target area to the electronic device, and the traffic monitoring request message is used for requesting the electronic device to return the traffic condition information of the target area.

In an embodiment of the present disclosure, the target area refers to various areas where traffic conditions need to be monitored, and the target area may be a key area that can attract a lot of people flows in scenes such as a certain business circle, a certain area where a certain important event is held, or a certain area where a certain scenic spot is located, in a scene of important events, holidays, daily inspections, and the like.

In one embodiment of the present disclosure, the traffic geographic information includes geographic information that can represent various objects related to traffic within the target area. The traffic geographic information may include boundary information of the target area, POI (Point of Interest) within the target area, and road segment information. The boundary information of the target area is used for determining the area range of the target area; the POI is a term in a geographic information system, and generally refers to all geographic objects that can be abstracted as points, especially some geographic entities closely related to people's lives, such as schools, banks, restaurants, gas stations, hospitals, supermarkets, and the like. Each POI comprises four-side information, name, category, longitude and latitude; the link information includes link IDs of links within the target area, position information of the links, and the like. The boundary information, POI and road section information of the target area can be obtained by adding, deleting, modifying and checking the geospatial database, screening and matching.

In an embodiment of the present disclosure, the road condition data includes data capable of representing road conditions of each road segment, such as traffic information, such as traffic speed or traffic time of vehicles on the road segment, and traffic flow information, such as vehicle volume, on the road segment; the current road condition data of each road section in the target area can be screened out from the database of the road conditions of the traffic road according to the road section information of the target area.

In an embodiment of the present disclosure, the mobile positioning data includes positioning data obtained by positioning the mobile terminal at the current moment, the mobile positioning data located in the target area at the current positioning can be screened out from the database of the mobile positioning data according to the boundary information of the target area, and the screened mobile positioning data can be used as the current mobile positioning data of the target area.

In one embodiment of the present disclosure, the traffic event includes various events that can affect traffic, such as traffic accidents, traffic control events, road construction events, and the like. The traffic event data includes the type, duration, and location information of the traffic event. Traffic event data of the traffic event which currently occurs in the target area can be screened from the database of the traffic event data according to the traffic geographic information of the target area, and the screened traffic event data can be used as the current traffic event data of the target area.

For example, assuming that a traffic monitoring request message for a hangzhou lakeside business district as a target area is received, the electronic device may obtain predefined boundary information of the hangzhou lakeside business district from the geospatial database, and further obtain information of each POI and each road segment located within the boundary of the hangzhou lakeside business district. Then, the current traffic speed and the current number of vehicles at each road section in the Hangzhou lake shore business district can be obtained from the traffic road condition database, the mobile positioning data currently positioned in the Hangzhou lake shore business district is screened out from the database of the mobile positioning data, and the traffic event data of traffic events such as traffic accidents, traffic control events, road construction events and the like which currently occur at each POI and each road section in the Hangzhou lake shore business district are screened out from the database of the traffic event data.

In an embodiment of the present disclosure, the current road condition data, the mobile positioning data, and the traffic event data of the target area may be obtained by constructing real-time databases of the mobile positioning data, the traffic road condition, and the traffic event data, and screening the real-time databases from the corresponding databases.

In an embodiment of the present disclosure, the road traffic status information includes an index or an identifier capable of indicating a current road traffic status of the target area, the road traffic status may include multiple statuses such as heavy congestion, slow traveling, clear traveling and extremely fast traveling, the passenger flow status includes an index or an identifier capable of indicating a current passenger flow status of the target area, the passenger flow status may include multiple statuses such as heavy congestion, moderate traveling, loose traveling and extremely loose traveling, and the event status information includes various information capable of indicating a degree of influence of a current traffic event of the target area. For example, the current road traffic status information, the current passenger flow status information, and the current event status information of each target area as shown in table 1 may be obtained:

TABLE 1

In an embodiment of the present disclosure, when the current road traffic state information, the current passenger flow state information, and the current event state information of the target area are acquired, the current road traffic state information, the current passenger flow state information, and the current event state information of the target area may be output. For example, the electronic device may transmit the current road traffic status information, the passenger flow status information, and the event status information of the target area to the inspection large-screen device, and the inspection large-screen device may display the current road traffic status information, the passenger flow status information, and the event status information of the target area at the target area of the electronic map displayed on the screen. Alternatively, a floating frame may be set in a preset area of the electronic map to display the current road traffic status information, the current passenger flow status information and the current event status information of each target area.

In the embodiment, the current road condition data, the mobile positioning data and the traffic event data of the target area can be obtained in real time to analyze and monitor the data, so that the real-time performance of the monitoring data is improved, and monitoring personnel can know the traffic condition of the target area in time through the implemented monitoring data; compared with the prior art that the current traffic condition of a target area is monitored by only carrying out traffic condition analysis and passenger flow analysis according to three dimensions of the traffic jam degree, the passenger flow jam degree and the influence degree of an event on traffic, the monitoring dimensions are richer, and monitoring personnel can directly find whether sudden events influencing people to go out, such as traffic accidents, passenger flow jam, traffic jam and the like, occur in the target area according to the three information, namely the road traffic state information, the passenger flow state information and the event state information, so that the problems can be solved in time, and the working efficiency is improved.

In an embodiment of the present disclosure, the method may further include the steps of:

In this embodiment, the planned navigation data includes navigation-related data, such as navigation routes and estimated arrival times, planned for the user by the navigation server at the current time. And screening various planning navigation data of the current navigation route passing through the target area from a navigation database of an electronic map manufacturer according to the boundary information, the POI and the road section information of the target area, wherein the screened planning navigation data can be used as the current planning navigation data of the target area.

In this embodiment, based on the current road condition data and the planned navigation data of the target area, it is possible to predict how many vehicles will enter each road segment of the target area at a future time, and how many vehicles will leave each road segment of the target area, so as to predict the road condition of each road segment in the target area in the future, and further predict the road traffic state information of the target area in the future. Based on the planned navigation data and the mobile positioning data, it can be determined how many mobile terminals are expected to leave the target area and how many mobile terminals are expected to enter the target area at a future time, so that the passenger flow volume of the predicted target area at the future time can be predicted, and further the passenger flow state information of the target area at the future time can be predicted.

In this embodiment, when the future road traffic state information and the passenger flow state information of the target area are predicted, the future road traffic state information and the passenger flow state information of the target area may be displayed on an electronic map.

The embodiment can predict the future road traffic state information and passenger flow state information of the target area based on the current road condition data, planning navigation data and mobile positioning data of the target area, provides a short-time prediction function, enables a city management department, especially a traffic management department, to grasp the future road traffic state and passenger flow state of the target area and grasp the future evolution trend of the traffic condition of the target area in time, and can help the city traffic management department to find and solve problems in advance in the daily inspection and emergency management processes in a more targeted manner, thereby improving the working efficiency.

In an embodiment of the present disclosure, the step S103 of performing data analysis on the current road condition data, the mobile positioning data and the traffic event data of the target area to obtain the current road traffic state information, the passenger flow state information and the event state information of the target area may include the following steps:

In this embodiment, the current road traffic status information of the target area may be obtained by analyzing according to the current road condition data of the target area, such as traffic flow, transit time or transit speed.

In this embodiment, according to the current mobile location data of the target area, information such as passenger flow volume and passenger flow distribution in the target area can be obtained in real time, and then current passenger flow state information of the target area is analyzed.

In this embodiment, according to the current movement positioning data and traffic event data of the target area, the accumulated number of influencing people of the traffic events can be acquired as the event state information, and the category and the number of the traffic events can be counted as the event state information.

In an embodiment of the present disclosure, the step of analyzing the current road condition data of the target area to obtain the current road traffic status information of the target area may include the following steps:

calculating a real-time congestion index of each road section in the target area, wherein the real-time congestion index is a real-time traffic parameter/traffic parameter under a free flow condition;

and determining the current traffic jam state of the target area according to the preset corresponding relation between the real-time jam index and the traffic jam state and the real-time jam index of the target area.

In this embodiment, the current road traffic status information of the target area includes at least one of a real-time congestion index and a current traffic congestion status of the target area.

In this embodiment, the real-time traffic parameter may be real-time traffic time or real-time traffic speed. The road condition data of each road section in the target area comprises real-time passing time or real-time passing speed of each carrier on each road section, and for one road section, the average value of the real-time passing time or the real-time passing speed of each carrier on the road section can be calculated to be the real-time passing time or the real-time passing speed of the road section.

In this embodiment, the free-flow-condition traffic parameter is the traffic speed or the traffic time that can be achieved by the vehicle under the conditions of low traffic volume and low density, and each road section corresponds to a fixed free-flow-condition traffic parameter.

In this embodiment, the real-time congestion index may be real-time transit time/transit time in free flow; alternatively, the real-time congestion index may be real-time traffic speed/traffic speed in free flow situations.

In this embodiment, the real-time congestion index of each link in the target area may be counted, and the real-time congestion index of the target area may be obtained by performing weighted average. Here, the weight corresponding to each link may be determined according to the position of each link, may be determined according to the traffic flow of each link, or may be set by a relevant person according to various requirements.

In this embodiment, the correspondence between the real-time congestion index range of the target area and the traffic congestion state may be set. Assuming that the traffic congestion state comprises congestion, slowdown and unblocked, the corresponding traffic congestion state can be set as congestion when the real-time congestion index is greater than 2, the corresponding traffic congestion state is set as slowdown when the real-time congestion index is within the range of [1.5, 2), and the corresponding traffic congestion state is set as unblocked when the real-time congestion index is less than or equal to 1.5. Therefore, after the real-time congestion index of the target area is obtained, the traffic congestion state corresponding to the real-time congestion index range where the real-time congestion index is located can be determined.

In an embodiment of the present disclosure, the step of obtaining the real-time congestion index of the target area by performing a weighted average on the real-time congestion indexes of the road segments in the target area may include the following steps:

In this embodiment, a weight may be set for each link according to a rule that the weight corresponding to a link having a larger traffic flow is larger, and the sum of the weights of all links in the target area is 1.

In this embodiment, the sum of the real-time congestion index of each link in the target area multiplied by the weight of the link may be used as the real-time congestion index of the target area.

In an embodiment of the present disclosure, the step of performing data analysis on the current movement positioning data of the target area to obtain the current passenger flow state information of the target area may include the following steps:

and determining the current passenger flow congestion state of the target area according to the real-time passenger flow congestion index of the target area according to the corresponding relation between the preset real-time passenger flow congestion index and the passenger flow congestion state.

In this embodiment, the current traffic status information of the target area includes at least one of a real-time traffic congestion index and a current traffic congestion status of the target area

In this embodiment, the current real-time passenger flow volume of the target area can be obtained through statistics according to the current movement positioning data of the target area. The passenger flow capacity of the target area is the passenger flow volume which is moderately accommodated by the target area, each target area has a fixed passenger flow capacity, and the passenger flow capacity can be determined by the regional characteristics such as regional attributes, regional areas and the like of the target area. The real-time passenger flow congestion index of the target area is the real-time passenger flow volume of the target area/the passenger flow capacity of the target area.

In this embodiment, the correspondence between the real-time passenger flow congestion index range of the target area and the passenger flow congestion status may be set. Assuming that the passenger flow congestion state includes congestion, moderate and loose, the corresponding passenger flow congestion state can be set to be congestion when the real-time passenger flow congestion index is greater than 2, the corresponding passenger flow congestion state is set to be moderate when the real-time passenger flow congestion index is within the range of [1.5, 2), and the corresponding passenger flow congestion state is set to be loose when the real-time passenger flow congestion index is less than or equal to 1.5. Therefore, after the real-time passenger flow congestion index of the target area is obtained, the passenger flow congestion state corresponding to the real-time passenger flow congestion index range in which the real-time passenger flow congestion index is located can be determined.

In an embodiment of the present disclosure, the step of performing data analysis on the current movement positioning data and the traffic event data of the target area to obtain the current event status information of the target area may include the following steps:

In this embodiment, the monitoring start time is a start time at which the target area needs to be monitored, for example, if the target area is one area in a daily inspection scene, daily monitoring is needed, and the monitoring start time may be 0 point per day. Based on the current traffic incident data of the target area, the number of traffic incidents in the target area from the monitoring starting moment to the current moment can be obtained through accumulative statistics, and the real-time traffic incident amount is obtained.

In this embodiment, the traffic event data includes location information of a traffic event currently occurring, the number of locations near the traffic event may be determined according to the current mobile location data of the target area, the number of locations is the number of people that can be affected by the traffic event at this time, the number of people that appear at the occurrence location of the traffic event in the occurrence time period of each traffic event from the monitoring start time to the current time may be accumulated, and thus an event-affected people index of the target area may be obtained.

In an embodiment of the present disclosure, the step of performing data analysis on the current road condition data of the target area to obtain the current road traffic status information of the target area may further include the following steps:

and acquiring abnormal congestion information in the target area based on the current road condition data of the target area.

In the embodiment, according to the current road condition data of the target area, the conditions of a road section with abnormally slow traffic speed and the like can be analyzed, and abnormal congestion information is obtained; the abnormal congestion information includes situation data indicating a position where abnormal congestion occurs, a congestion range, and the like.

It should be noted that, whether the cause of the abnormal congestion is a traffic event may also be analyzed through the traffic event data, and in this case, the abnormal congestion information may also include the cause of the abnormal congestion.

The embodiment can analyze and obtain abnormal jam information in the target area, is convenient for remind the traffic management department of knowing the information such as the generation time, the occurrence position and the like of the abnormal jam, is convenient for the traffic management department to design a traffic organization and operation guarantee scheme for citizens, and guarantees the basic traffic travel of the citizens in the city.

In an embodiment of the present disclosure, the step of performing data analysis on the current road condition data, the planning navigation data, and the mobile positioning data of the target area to predict the future road traffic state information and the future passenger flow state information of the target area may further include the following steps:

calculating the traffic flow increment of the target area at the future moment;

In this embodiment, the future road traffic status information of the target area includes a traffic flow increment and a traffic jam state of the target area at a future time, and the future passenger flow status information of the target area includes a passenger flow increment and a passenger flow jam state of the target area at the future time.

In this embodiment, the traffic flow increment is 100% -100% of the predicted traffic flow value of the target area at the future time/the current traffic flow value of the target area; the current road condition data of the target area comprises a current traffic flow value of the target area, and according to the current planning navigation data and the current road condition data of the target area, the current traffic flow value of the target area can be predicted, so that the predicted traffic flow value of the target area at the future time can be obtained, and the traffic flow increment is calculated as the predicted traffic flow value of the target area at the future time/the current traffic flow value of the target area of 100-100%.

In this embodiment, as mentioned above, the real-time congestion index of each road segment in the target area may be obtained based on the current road condition data of the target area, so that the real-time congestion index of each previous historical time may be directly obtained at the current time as the historical congestion index, and further the historical congestion index trend may be obtained.

In this embodiment, the historical congestion index trend and the traffic flow increment of the target area at the future time may be analyzed to determine whether the traffic congestion status of the target area at the future time is to remain the same, change from slow traffic to congestion, change from slow traffic to clear traffic, and so on. For example, if the historical congestion index trend is an upward trend in the congestion state and the traffic flow increment at the future time is a positive value, it may be determined that the traffic congestion state of the target area at the future time is continuously in the congestion state; if the historical congestion index trend is a downward trend in the congestion status and the traffic flow increment at the future time is a large negative value, it may be determined that the traffic congestion status of the target area at the future time is changed from congestion to creep.

In this embodiment, the current movement positioning data of the target area may be counted to obtain the current passenger flow volume of the target area, and it may be predicted, according to the current planning navigation data and the current passenger flow volume of the target area, how many people will go out of the target area and how many people will go into the target area in the future of the target area, so that the passenger flow volume prediction value of the target area in the future may be obtained, and then the passenger flow volume increment is calculated as the passenger flow volume prediction value of the target area in the future/the current passenger flow volume value of the target area 100% -100%.

In this embodiment, the real-time passenger flow congestion index of the target area and the passenger flow volume increment of the target area at the future time can be analyzed to determine whether the passenger flow congestion state of the target area at the future time is maintained, whether the passenger flow congestion state is changed from moderate to crowded, whether the passenger flow congestion state is changed from crowded to loose, and the like. For example, if the real-time passenger flow congestion index is moderate and the passenger flow volume increment is a large positive value at a future time, it may be determined that the passenger flow congestion state of the target area at the future time is congested; if the real-time passenger flow congestion index is moderate and the passenger flow increment is a large negative value at a future time, the passenger flow congestion state of the target area at the future time can be determined to be loose.

By way of example, the scheme can be applied to the inspection management of the urban traffic management department for key areas in spring festival holidays. In a holiday scene, a large number of passenger flow traffic flows in and out of a city and need to go to a hub, and meanwhile, a large number of passenger flow traffic flows need to go to scenic spots and a business district. By the scheme, the real-time ranking and future prediction of regional congestion and passenger flow congestion can be provided for the management department, and meanwhile, real-time influence people feedback is provided for traffic events issued by the management department. For example, the scheme can show that at a certain moment, the market is the most congested in sunny city, the real-time congestion index is 1.75, the traffic congestion state is a slow-going state, the real-time passenger flow congestion index is 66%, the passenger flow congestion state is moderate, the traffic flow is expected to be slightly reduced in the future 30 minutes, the traffic flow increment is-14%, and the passenger flow increment is-24%; the number of real-time traffic events in the effective period in the business district is 58, and the event influence number index is 54 ten thousand.

Or, the scheme can be applied to the inspection management of the city traffic management department for the region along the activity in the marathon activity. In a major activity scenario, management needs to check traffic and passenger flow in key areas along the line. The user can self-define the adjustment area list according to the scene requirement. For example, according to the scheme, the situation that at a certain moment, the area at the guangzhou marathon end point is most congested, the real-time congestion index is 2.11, the traffic congestion state is a severe congestion state, the real-time passenger flow congestion index is 64%, the passenger flow congestion state is moderate, the traffic flow is expected to be reduced slightly in the future 30 minutes, the traffic flow increment is-10%, the passenger flow increment is 1%, the number of real-time traffic events in effect in the area is 9, and the event influence people number index is 36 ten thousand.

The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.

Fig. 2 shows a block diagram of a regional traffic monitoring device according to an embodiment of the present disclosure, which may be implemented as part or all of an electronic device through software, hardware, or a combination of the two. As shown in fig. 2, the regional traffic monitoring device includes:

a static area data acquisition module 201 configured to acquire traffic geographic information of the target area from a geospatial database;

a dynamic area data obtaining module 202, configured to query and obtain current road condition data, mobile positioning data and traffic event data of the target area from a corresponding database based on the traffic geographic information;

the road traffic state monitoring module 203 is configured to perform data analysis on the current road condition data of the target area to acquire the current road traffic state information of the target area;

a passenger flow status monitoring module 204, configured to perform data analysis on the current mobile positioning data of the target area, and obtain current passenger flow status information of the target area;

an event status monitoring module 205, configured to perform data analysis on the current mobile positioning data and traffic event data of the target area, and acquire current event status information of the target area;

an output module 206 configured to output the current road traffic status information, the passenger flow status information and the event status information of the target area.

In an embodiment of the present disclosure, the regional traffic monitoring apparatus may be applied to electronic devices such as a computer, a computing device, a server, and a service cluster, which may perform regional traffic monitoring.

In an embodiment of the present disclosure, the static area data acquiring module 201 may acquire traffic geographic information of a target area from a geospatial database, as shown in fig. 2, where the traffic geographic information may include boundary information of the target area, POI in the target area, and road segment information.

In an embodiment of the present disclosure, as shown in fig. 2, the dynamic area data obtaining module 202 may screen current road condition data of each road segment in the target area from the database of the road conditions of the transportation road based on the road segment information of the target area; screening mobile positioning data currently positioned in the target area from the database of the mobile positioning data based on the boundary information of the target area; and screening traffic event data of the traffic event which currently occurs at the corresponding road section and POI in the target area from the database of the traffic event data according to the road section information and POI of the target area, and taking the screened traffic event data as the current traffic event data of the target area.

In an embodiment of the present disclosure, as shown in fig. 2, the road traffic status monitoring module 203 may perform data analysis on the current road condition data of the target area to obtain the current road traffic status information of the target area; as shown in fig. 2, a real-time congestion index of each road segment in the target area may be calculated, where the real-time congestion index is a real-time traffic parameter/a traffic parameter under a free flow condition; carrying out weighted average on the real-time congestion indexes of all road sections in the target area to obtain the real-time congestion index of the target area; determining the current traffic jam state of the target area according to the real-time jam index of the target area according to the corresponding relation between the preset real-time jam index and the traffic jam state; wherein the current road traffic status information of the target area comprises at least one of a real-time congestion index and a current traffic congestion status of the target area.

In an embodiment of the present disclosure, as shown in fig. 2, the passenger flow status monitoring module 204 may perform data analysis on the current mobile location data of the target area to obtain current passenger flow status information of the target area; as shown in fig. 2, the current movement positioning data of the target area may be counted first to obtain the real-time passenger flow volume of the target area, and a real-time passenger flow congestion index of the target area is calculated, where the real-time passenger flow congestion index is the real-time passenger flow volume of the target area/the passenger flow capacity of the target area; then, according to the corresponding relation between the preset real-time passenger flow congestion index and the passenger flow congestion state, determining the current passenger flow congestion state of the target area according to the real-time passenger flow congestion index of the target area; wherein the current passenger flow status information of the target area comprises at least one of a real-time passenger flow congestion index and a current passenger flow congestion status of the target area.

In an embodiment of the present disclosure, as shown in fig. 2, the event status monitoring module 205 may perform data analysis on the current movement positioning data and the traffic event data of the target area to obtain the current event status information of the target area. As shown in fig. 2, the real-time traffic event amount in the target area from the monitoring start time to the current time may be counted based on the current traffic event data of the target area; and counting the number of mobile positioning within a preset range from the position of the traffic event in the target area based on the current mobile positioning data and the traffic event data of the target area to obtain an event influence number index of the target area, wherein the event influence number index is the sum of the accumulated influence numbers of the traffic events in the target area from the monitoring starting moment to the current moment.

In an embodiment of the present disclosure, the electronic device may be an inspection large-screen device, or may be another electronic device that communicates with the inspection large-screen device. If the electronic device is a large-screen inspection device, the output module 206 controls the display screen of the large-screen inspection device to display the current road traffic status information, the current passenger flow status information, and the current event status information of the target area. If the electronic device is another electronic device communicating with the large-screen inspection device, the output module 206 sends the current road traffic status information, the current passenger flow status information, and the current event status information of the target area to the large-screen inspection device, so that the large-screen inspection device can display the current road traffic status information, the current passenger flow status information, and the current event status information of the target area on the display screen.

In a possible implementation manner, as shown in fig. 2, the dynamic area data obtaining module 202 is further configured to query and obtain current planning navigation data of the target area from a navigation database based on the traffic geographic information;

a road traffic state prediction module 207 configured to perform data analysis on the current road condition data and the planning navigation data of the target area, and predict future road traffic state information of the target area;

a passenger flow status prediction module 208 configured to perform data analysis on the current mobile positioning data and planning navigation data of the target area, and predict future passenger flow status information of the target area;

the output module 206 is further configured to output future road traffic status information and passenger flow status information of the target area.

In this embodiment, the dynamic area data acquiring module 202 may screen, from the navigation database of the electronic map manufacturer, each piece of planned navigation data of the current navigation route passing through the target area based on the boundary information, the POI, and the road segment information of the target area acquired by the area static data acquiring module 201, and may use the screened piece of planned navigation data as the current planned navigation data of the target area.

In this embodiment, as shown in fig. 2, the road traffic status prediction module 207 may perform data analysis on the current planned navigation data and road condition data of the target area, and predict a predicted traffic flow value of the target area at a future time; calculating a traffic flow increment, wherein the traffic flow increment is a predicted traffic flow value of the target area at the future time/a current traffic flow value of the target area by 100% -100%; the current road condition data of the target area comprises a current traffic flow value of the target area; obtaining a historical congestion index trend based on the real-time congestion index of each historical moment; analyzing the historical congestion index trend and the traffic flow increment of the target area at the future moment, and predicting the traffic congestion state of the target area at the future moment; the future road traffic state information of the target area comprises at least one of traffic flow increment and traffic jam state of the target area at the future moment

In this embodiment, as shown in fig. 2, the passenger flow status prediction module 208 may count the current movement positioning data of the target area, determine the current passenger flow value of the target area, predict a passenger flow predicted value of the target area at a future time based on the current planning navigation data and the movement positioning data of the target area, and calculate the passenger flow increment, where the passenger flow increment is 100% to 100% of the passenger flow predicted value of the target area at the future time/the current passenger flow value of the target area; analyzing a real-time passenger flow congestion index of a target area and a passenger flow increment of the target area at a future moment, and predicting a passenger flow congestion state of the target area at the future moment; the target area future passenger flow state information includes at least one of a passenger flow volume increment and a passenger flow congestion state of the target area at a future time.

In this embodiment, the correspondence between the regional traffic monitoring device and the regional traffic monitoring method is the same, and specific details may be referred to the description of the regional traffic monitoring method, which is not described herein again.

Fig. 3 shows a block diagram of a regional traffic monitoring device according to an embodiment of the present disclosure, which may be implemented as part or all of an electronic device through software, hardware, or a combination of the two. As shown in fig. 3, the regional traffic monitoring device includes:

a first obtaining module 301, configured to obtain traffic geographic information of the target area from a geospatial database;

a second obtaining module 302, configured to query and obtain current road condition data, mobile positioning data and traffic event data of the target area from a corresponding database based on the traffic geographic information;

a third obtaining module 303, configured to perform data analysis on the current road condition data, the mobile positioning data, and the traffic event data of the target area, and obtain current road traffic state information, passenger flow state information, and event state information of the target area;

a second output module 304 configured to output the current road traffic status information, the current passenger flow status information and the current event status information of the target area.

In an embodiment of the present disclosure, the apparatus further includes:

In an embodiment of the present disclosure, the traffic geographic information includes boundary information of the target area, a point of interest POI in the target area, and road segment information.

In an embodiment of the present disclosure, the third obtaining module 303 is configured to:

performing data analysis on the current mobile positioning data of the target area to acquire current passenger flow state information of the target area;

In an embodiment of the present disclosure, the current road condition data includes real-time traffic parameters of each road segment, and the third obtaining module 303 is configured to perform data analysis on the current road condition data of the target area to obtain the current road traffic status information of the target area, where:

In an embodiment of the present disclosure, the third obtaining module 303 is configured to perform weighted average on the real-time congestion index of each link in the target area to obtain a real-time congestion index of the target area, and further configured to:

In an embodiment of the present disclosure, the third obtaining module 303 is configured to perform data analysis on the current movement positioning data of the target area, and obtain current passenger flow status information of the target area, and is configured to:

In an embodiment of the present disclosure, the third obtaining module 303 is configured to perform data analysis on the current movement positioning data and the current traffic event data of the target area, and obtain current event status information of the target area, and further configured to:

In an embodiment of the present disclosure, the third obtaining module 303 performs data analysis on the current road condition data of the target area, and a part of the current road traffic status information of the target area is configured to:

In an embodiment of the present disclosure, the first prediction module is configured to:

calculating the traffic flow increment of the target area at the future moment;

The embodiment of the disclosure also discloses a navigation service, wherein a road condition determination result of a navigated object is obtained based on the above regional traffic monitoring condition, and a navigation guidance service of a corresponding scene is provided for the navigated object based on the road condition determination result. Wherein, the corresponding scene is one or a combination of more of AR navigation, overhead navigation or main and auxiliary road navigation.

The embodiment of the disclosure also discloses a navigation method, wherein a navigation route calculated at least based on the starting point, the end point and the regional traffic monitoring condition is obtained, and navigation guidance is performed based on the navigation route, and the regional traffic monitoring condition is realized based on any one of the methods.

The present disclosure also discloses an electronic device, fig. 4 shows a block diagram of an electronic device according to an embodiment of the present disclosure, and as shown in fig. 4, the electronic device 400 includes a memory 401 and a processor 402; wherein the content of the first and second substances,

the memory 401 is used to store one or more computer instructions that are executed by the processor 402 to implement the above-described method steps.

As shown in fig. 5, the computer system 500 includes a processing unit 501 that can execute various processes in the above-described embodiments according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data necessary for the operation of the system 500 are also stored. The processing unit 501, the ROM502, and the RAM503 are connected to each other by a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.

The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary. The processing unit 501 may be implemented as a CPU, a GPU, a TPU, an FPGA, an NPU, or other processing units.

In particular, the above described methods may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a medium readable thereby, the computer program comprising program code for performing the regional traffic monitoring method. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowcharts or block diagrams may represent a module, a program segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units or modules described in the embodiments of the present disclosure may be implemented by software or hardware. The units or modules described may also be provided in a processor, and the names of the units or modules do not in some cases constitute a limitation on the units or modules themselves.

As another aspect, the disclosed embodiment also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the apparatus in the foregoing embodiment; or it may be a separate computer readable storage medium not incorporated into the device. The computer readable storage medium stores one or more programs for use by one or more processors in performing the methods described in the embodiments of the present disclosure.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept. For example, the above features and (but not limited to) the features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims

1. A regional traffic monitoring method, comprising:

2. The method of claim 1, further comprising:

3. The method of claim 1, wherein the traffic geographic information includes boundary information of the target area, a point of interest (POI) within the target area, and road segment information.

4. The method of claim 1, wherein the performing data analysis on the current road condition data, the mobile positioning data and the traffic event data of the target area to obtain the current road traffic state information, the current passenger flow state information and the current event state information of the target area comprises:

5. The method according to claim 4, wherein the current road condition data includes real-time traffic parameters of each road segment, and the performing data analysis on the current road condition data of the target area to obtain the current road traffic status information of the target area includes:

6. The method of claim 5, wherein the performing a weighted average of the real-time congestion indexes of the road segments in the target area to obtain the real-time congestion index of the target area comprises:

7. The method of claim 4, wherein the performing data analysis on the current movement location data of the target area to obtain the current passenger flow status information of the target area comprises:

8. The method of claim 4, wherein the performing data analysis on the current movement positioning data and traffic event data of the target area to obtain the current event state information of the target area comprises:

9. The method as claimed in claim 4, wherein the performing data analysis on the current road condition data of the target area to obtain the current road traffic status information of the target area further comprises:

10. The method of claim 2, wherein the performing data analysis on the current road condition data, the planned navigation data and the mobile positioning data of the target area to predict future road traffic status information and traffic status information of the target area comprises:

calculating the traffic flow increment of the target area at the future moment;

11. A regional traffic monitoring device comprising:

a first output module configured to output current road traffic status information, passenger flow status information, and event status information of the target area.

12. The apparatus of claim 11, wherein,

13. A regional traffic monitoring device comprising:

14. An electronic device comprising a memory and at least one processor; wherein the memory is to store one or more computer instructions, wherein the one or more computer instructions are to be executed by the at least one processor to implement the method steps of any one of claims 1-10.

15. A computer-readable storage medium having stored thereon computer instructions, characterized in that the computer instructions, when executed by a processor, carry out the method steps of any of claims 1-10.

16. A computer program product comprising computer programs/instructions, wherein the computer programs/instructions, when executed by a processor, implement the method steps of any of claims 1-10.

17. A navigation method, wherein a navigation route calculated at least based on a starting point, an end point and a regional traffic monitoring condition is obtained, and navigation guidance is performed based on the navigation route, wherein the regional traffic monitoring condition is realized based on any one of the methods of claims 1-10.