CN110782671A - Real-time updating method and server for road congestion state - Google Patents
Real-time updating method and server for road congestion state Download PDFInfo
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- CN110782671A CN110782671A CN201911154777.2A CN201911154777A CN110782671A CN 110782671 A CN110782671 A CN 110782671A CN 201911154777 A CN201911154777 A CN 201911154777A CN 110782671 A CN110782671 A CN 110782671A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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Abstract
The invention provides a real-time updating method and a server for a road congestion state, wherein the real-time updating method for the road congestion state comprises the following steps: acquiring the current vehicle running speed and the current road state information; comparing the vehicle running speed with a preset threshold value, and judging whether the current road is congested or not based on the current road state information when the vehicle running speed is lower than the preset threshold value; and when the current road is judged to be congested, acquiring the position information of the current vehicle, and issuing the position information and the congestion state to all vehicles in real time. According to the real-time updating method for the road congestion state, the image recognition technology is adopted to sense the road congestion state, and simpler and more accurate real-time road congestion state information is provided.
Description
Technical Field
The invention relates to the field of intelligent traffic, in particular to a real-time updating method and a server for a road congestion state.
Background
With the rapid development of economy, the quantity of motor vehicles is also rapidly increased, the vehicle growth speed far exceeds the road growth speed, so that the traffic jam is serious day by day, traffic accidents occur frequently, and the like. Therefore, it is of great importance to accurately monitor the road congestion state.
The traffic jam detection method currently comprises buried induction detection, microwave detection, GPS speed detection technology, video detection technology and the like.
However, the existing detection technology has the following problems: the buried induction detection lays induction coils on each road section of a road, and has the defects of easy damage, difficult repair and complex construction; the microwave detection adopts a radar detector working in a microwave frequency band to detect road congestion, and has complex technology and higher price; the GPS speed detection technology is that a GPS device is arranged on a vehicle, and the road traffic state is estimated through the acquired information, and has the defects of insufficient coverage rate and detection blind areas, so that the detection precision is influenced.
Compared with other detection technologies, the video detection technology has the main advantages that: the road is not damaged, the traffic is not required to be interrupted during installation, the detection function is multiple, the field image can be recorded, and the like. In the traffic jam method based on the video detection technology in the prior art, a large number of traffic state parameters are obtained, such as: the traffic congestion detection method comprises the steps of selecting a plurality of parameters such as flow, road occupancy, speed, inter-vehicle distance and queuing length, and detecting a traffic congestion event by using a traditional congestion judgment algorithm. The method requires the image processing technology to calculate a plurality of parameters, is complex to realize, has high cost, and is not beneficial to realizing the real-time monitoring of the occurrence of the road congestion event.
Disclosure of Invention
In view of this, the present invention provides a method and a server for updating a road congestion status in real time, so as to solve the problem of how to simply and accurately monitor the road congestion status in real time.
In order to solve the above technical problem, in one aspect, the present invention provides a method for updating a road congestion state in real time, including the following steps:
acquiring the current vehicle running speed and the current road state information;
comparing the vehicle running speed with a preset threshold value, and judging whether the current road is congested or not based on the current road state information when the vehicle running speed is lower than the preset threshold value;
and when the current road is judged to be congested, acquiring the position information of the current vehicle, and issuing the position information and the congestion state to all vehicles in real time.
Further, vehicle running speeds and road state information uploaded by a plurality of vehicles are obtained, and aggregation analysis is performed to judge whether congestion exists on the current road.
Further, the current road state information includes one or more of traffic light information, pedestrian information, and vehicle information.
Further, acquiring the current road state information includes:
acquiring a road image through which a current vehicle runs;
and carrying out image recognition on the road image to acquire the road state information.
Further, image recognition is carried out on the road image through an image recognition model.
Further, the image recognition model is formed by the following method:
acquiring an image set containing a road state as a sample picture;
and marking and training the sample picture to generate the image recognition model.
Furthermore, the sample picture is labeled and trained through a target detection method based on deep learning, and the image recognition model is generated.
Further, according to the uploaded time and the geographic position, mapping the map data to a road vector section of the map data, and performing the following processing on each road vector section:
selecting a state point information set of a road vector section;
searching traffic light signals and pedestrian information position points according to the direction of the road vector, and filtering out red light and pedestrian position points and subsequent continuous state points from the state point information set;
and judging the road congestion state based on the combination of the residual state point information.
Further, after the state point information set of the road vector road segment is selected, the state point information set is filtered to process the state points with the distance from the current time difference exceeding the preset time difference.
In another aspect, the present invention provides a server, comprising:
the information acquisition unit is used for receiving the current vehicle running speed, the current vehicle position information and the current road state information uploaded by the vehicle-mounted terminal;
a comparison unit for comparing the vehicle running speed with a predetermined threshold;
the processing unit is used for judging whether the current road is congested or not based on the current road state information when the vehicle running speed is lower than the preset threshold value;
and the information pushing unit is used for issuing the position information and the congestion state to all vehicles in real time when the current road is judged to have congestion.
The technical scheme of the invention at least has one of the following beneficial effects:
according to the real-time updating method for the road congestion state, the image recognition technology is adopted to sense the road congestion state, and simpler and more accurate real-time road congestion state information is provided.
Drawings
Fig. 1 is a flowchart of a real-time update method of a road congestion status according to an embodiment of the present invention;
FIG. 2 is a flow chart of road condition information collection according to an embodiment of the present invention;
FIG. 3 is a block diagram of a congestion status determination system according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a server according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention will be made with reference to the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
First, a real-time update method of a road congestion state according to an embodiment of the present invention is described with reference to fig. 1 and 2.
As shown in fig. 1, a method for updating a road congestion state in real time according to an embodiment of the present invention includes:
in step S1, the current vehicle running speed and the current road state information are acquired.
That is, the vehicle running speed and the current road state information (state information on whether the road has an influence on the vehicle running speed, etc.) are acquired, and the above functions can be implemented by the intelligent terminal mounted on the vehicle. In general, an intelligent terminal is an embedded system, and an image recognition model is required to be capable of running on low-performance hardware, and optionally, the scheme runs on an android-based system and uses a target detection model developed based on tensoflow lite, such as YOLO/SSD Mobile.
According to some embodiments of the invention, the current road state information may include one or more of traffic light information, pedestrian, vehicle information. Of course, the present invention is not limited thereto, and any road information that may affect traffic operation may be used as the current road state information.
In order to realize the above functions, the intelligent terminal needs to be provided with a structure with corresponding functions. Optionally, the intelligent terminal includes one or more of the following structures:
1) and the camera is used for shooting road videos.
2) And a positioning device for determining the position of the current terminal, such as a GPS or the like.
3) And the operating system is used for supporting the identification of the intelligent image.
4) And the information transmission device is used for transmitting information, such as mobile internet.
5) A screen for displaying information.
According to some embodiments of the invention, obtaining the current road state information comprises:
and S11, acquiring the road image which is passed by the current vehicle.
Alternatively, the image of the road through which the current vehicle travels may be captured by a camera mounted on the vehicle, which may be a forward-facing camera or a backward-facing camera.
And S12, performing image recognition on the road image to acquire the road state information.
That is, the required road state information is acquired by performing recognition according to the acquired road image, and optionally, a road state information image database may be established, and then image comparison is performed to acquire the required road state information.
Further, image recognition is carried out on the road image through an image recognition model. Therefore, the road image can be automatically and quickly identified, the road state information can be acquired, and the intelligent road condition information is achieved. Alternatively, the above functions are implemented by an image recognition training system, which may be an off-line system.
Specifically, the method comprises the following steps:
1) and acquiring an image set containing the road state as a sample picture.
For example, an image of traffic light information, pedestrian, vehicle, or the like, which affects the traffic, is collected as a sample image.
2) And marking and training the sample picture to generate an image recognition model.
For example, the image recognition model is generated by labeling and training through a neural network.
Preferably, the sample picture is labeled and trained by a target detection method based on deep learning (such as YOLO v3/Light-Head R-CNN/SSD Mobile, etc.), so as to generate the image recognition model.
And step S2, comparing the vehicle running speed with a preset threshold value, and judging whether the current road is congested or not based on the current road state information when the vehicle running speed is lower than the preset threshold value.
In the above, the speed of a single vehicle may be compared with a predetermined threshold value to directly determine whether congestion exists, or the speeds of multiple vehicles may be compared with the predetermined threshold value to comprehensively determine whether congestion exists.
The predetermined threshold is the lowest speed determined as not being congested, and may be set at 1/2 where the speed is lower than the current road speed limit.
The implementation can be realized by directly judging whether congestion exists in the intelligent terminal, and preferably, the data of the intelligent terminal is uploaded to the server, and the server judges whether congestion exists.
According to some embodiments of the present invention, as shown in fig. 2, data of the intelligent terminal is uploaded to a server (information acquisition server, etc.), and the process is as follows:
1) and judging whether the GPS is turned on, if so, carrying out the next step, and if not, starting the GPS.
2) And judging whether the speed is lower than a threshold value, if so, carrying out the next step, otherwise, reporting the current state to a server, and entering the next identification period.
3) And the intelligent terminal performs image recognition processing.
4) And judging whether a signal lamp exists or not, if so, further judging whether the signal lamp is a red lamp or not, if so, reporting the current state to the server, entering the next identification period, otherwise, entering the next identification period, and if not, entering the next step.
5) And judging whether a pedestrian passes in front, if not, carrying out the next step, if so, reporting the current state to a server, and entering the next identification period.
6) And judging whether a vehicle exists in front, if not, ending, if so, reporting the current state to a server, and entering the next identification period.
According to some embodiments of the invention, vehicle running speeds and road state information uploaded by a plurality of vehicles are acquired, and aggregate analysis is performed to judge whether congestion exists on the current road. Therefore, the condition that the speed of the individual vehicle is lower than the preset threshold value due to non-congestion reasons such as habits of drivers or vehicle faults can be eliminated, and the misjudgment of the road congestion state can be avoided.
As shown in fig. 3, the congestion state determination system determines whether a current road is congested, and sends information of the intelligent terminal to the aggregation server through the mobile network, and the aggregation server performs aggregation analysis in real time by summarizing the vehicle running speed and the road state information to determine whether the current road is congested.
The aggregation server is provided with an aggregation server cluster processing system, can collect information reported by the vehicle intelligent terminals, carries out aggregation analysis and judgment, generates corresponding road congestion state information, and can push real-time road congestion states to on-line running vehicle terminals.
Optionally, mapping is performed on the road vector segments of the map data according to the uploaded time and geographic location, and performing the following processing on each road vector segment:
1) a set of state point information for the road vector road segment is selected.
2) And searching traffic light signals and pedestrian information position points according to the road vector direction, and filtering out red light and pedestrian position points and subsequent continuous state points (state points of the duration time of the red light and the time of the pedestrians passing through the road) from the state point information set.
That is, the point at which the speed in the normal traffic (non-congestion) state is lower than the predetermined threshold is excluded, and erroneous judgment of the congestion state is avoided.
3) And judging the road congestion state based on the combination of the residual state point information.
Therefore, the road congestion state can be simply and accurately judged.
Further, after the state point information set of the road vector road segment is selected, the state point information set is filtered to process the state points with the distance from the current time difference exceeding the preset time difference. Therefore, real-time monitoring can be carried out, and the current road congestion state can be obtained more accurately.
Of course, the above is only an optional implementation manner, and may further include: and analyzing the road sections influenced by the traffic lights or pedestrians, deleting the road sections, and judging the road congestion state based on the combination of the state point information of the rest road sections.
And step S3, when the current road is judged to be congested, acquiring the position information of the current vehicle, and issuing the position information and the congestion state to all vehicles in real time.
Alternatively, the location information, the congestion status and subsequent updates are pushed by a server (push server, etc.) to end users traveling within the same geographic area.
And further, pushing the road congestion state real-time database of the server.
In the following, referring to fig. 3, a server according to an embodiment of the present invention is described, including:
an information collecting unit 1001 for receiving the current vehicle running speed, the current vehicle position information, and the current road state information uploaded by the in-vehicle terminal.
A comparing unit 1002 for comparing the vehicle running speed with a predetermined threshold value.
And the processing unit 1003 is configured to determine whether congestion exists on the current road based on the current road state information when the vehicle running speed is lower than the predetermined threshold.
And the information pushing unit 1004 is used for issuing the position information and the congestion state to all vehicles in real time when the current road is judged to have congestion.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A road congestion state real-time updating method is characterized by comprising the following steps:
acquiring the current vehicle running speed and the current road state information;
comparing the vehicle running speed with a preset threshold value, and judging whether the current road is congested or not based on the current road state information when the vehicle running speed is lower than the preset threshold value;
and when the current road is judged to be congested, acquiring the position information of the current vehicle, and issuing the position information and the congestion state to all vehicles in real time.
2. The method for updating the road congestion status in real time as claimed in claim 1, wherein vehicle traveling speeds and road status information uploaded by a plurality of vehicles are obtained, and aggregate analysis is performed to determine whether congestion exists on the current road.
3. The method for updating road congestion status in real time as claimed in claim 2, wherein the current road status information comprises one or more of traffic light information, pedestrian information, and vehicle information.
4. The method for updating the road congestion status in real time according to claim 3, wherein the acquiring the current road status information comprises:
acquiring a road image through which a current vehicle runs;
and carrying out image recognition on the road image to acquire the road state information.
5. The method for updating the road congestion state in real time according to claim 4, wherein the image recognition is performed on the road image through an image recognition model.
6. The method for updating the road congestion state in real time according to claim 5, wherein the image recognition model is formed by:
acquiring an image set containing a road state as a sample picture;
and marking and training the sample picture to generate the image recognition model.
7. The method for updating the road congestion status in real time as claimed in claim 6, wherein the image recognition model is generated by labeling and training the sample image through a target detection method based on deep learning.
8. The method for updating the road congestion status in real time according to claim 3, wherein the map is mapped to the road vector segments of the map data according to the uploaded time and geographic position, and each road vector segment is processed as follows:
selecting a state point information set of a road vector section;
searching traffic light signals and pedestrian information position points according to the direction of the road vector, and filtering out red light and pedestrian position points and subsequent continuous state points from the state point information set;
and judging the road congestion state based on the combination of the residual state point information.
9. The real-time road congestion status updating method according to claim 8,
after the state point information set of the road vector road section is selected, filtering processing is carried out on the state point information set so as to process the state points with the distance from the current time difference exceeding the preset time difference.
10. A server, comprising:
the information acquisition unit is used for receiving the current vehicle running speed, the current vehicle position information and the current road state information uploaded by the vehicle-mounted terminal;
a comparison unit for comparing the vehicle running speed with a predetermined threshold;
the processing unit is used for judging whether the current road is congested or not based on the current road state information when the vehicle running speed is lower than the preset threshold value;
and the information pushing unit is used for issuing the position information and the congestion state to all vehicles in real time when the current road is judged to have congestion.
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