Urban road congestion index analysis method based on shooting equipment

Abstract

The invention discloses an urban road congestion index analysis method based on shooting equipment, relates to the field of urban traffic, and solves the problem that the current urban road congestion condition depends on a monitoring probe for shooting. Analyzing to obtain a road planning grade; configuring shooting equipment in the urban road according to the road planning grade; the road condition analysis module analyzes the occupation condition of the road capacity in the monitoring section, and the traffic density index and the traffic speed index of the monitoring section are obtained through analysis; the traffic flow analysis module analyzes the traffic delay conditions of the vehicles in the monitoring paragraph to obtain a traffic delay index of the monitoring paragraph; the congestion defining module judges the congestion condition of the monitored paragraph, and a congestion index is obtained through judgment; and dividing the urban roads according to the congestion indexes. According to the method, multi-aspect analysis of the urban road congestion coefficients is realized based on the image information of the connected road sections.

Description

Technical Field

[0001] The present invention belongs to the field of urban traffic and relates to a congestion analysis technology, in particular to an urban road congestion index analysis method based on a photographing device. Background Art

[0002] Urban transportation refers to public travel and passenger and freight transportation in the urban system. Urban transportation has greatly facilitated people's daily travel. However, with the surge in urban traffic volume, urban road traffic congestion has become increasingly serious.

[0003] Under the current technical background, the congestion situation of urban roads often depends on the images taken by monitoring probes at intersections. However, in actual urban traffic, due to the limited monitoring range of monitoring probes, it is difficult to present the linkage relationship between congestion phenomena between road sections. Therefore, how to realize multi-faceted analysis of urban road congestion coefficients based on the image information of interconnected road sections is the current problem. To this end, we propose an urban road congestion index analysis method based on shooting equipment. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention aims to provide a method for analyzing urban road congestion index based on a photographing device.

[0005] The technical problems to be solved by the present invention are: How to achieve multi-faceted analysis of urban road congestion coefficient based on image information of connected road sections.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: Urban road congestion index analysis method based on shooting equipment, urban road congestion index analysis method: Step S101, dividing the urban road into several monitoring sections according to the intersections, the planning extraction module obtains the road planning information of each monitoring section in the urban road and sends it to the server, and the server sends the road planning information of each monitoring section in the urban road to the planning analysis module; Step S102, the planning analysis module performs a comprehensive analysis on the road planning of each monitoring section in the urban road, obtains the road planning level of each monitoring section in the urban road through the analysis and sends it to the server, and the server sends the road planning level of each monitoring section in the urban road to the device configuration terminal; Step S103, the device configuration terminal configures the shooting device on the urban road. After the shooting device configuration is completed, the data acquisition module monitors the road condition information and vehicle information of the monitoring section in real time, sends the real-time road condition information of the monitoring section to the road condition analysis module, and sends the real-time vehicle flow information to the vehicle flow analysis module; Step S104, the road condition analysis module analyzes the occupancy of the road capacity in the monitoring section, obtains the traffic density index and the traffic speed index of the monitoring section through the analysis, and sends them to the server, and the server sends the traffic density index and the traffic speed index of the monitoring section to the congestion definition module; Step S105, the traffic flow analysis module analyzes the traffic delay of the vehicles in the monitoring section, obtains the traffic delay index of the monitoring section through the analysis and sends it to the server, and the server sends the traffic delay index of the monitoring section to the congestion definition module; Step S106, the congestion definition module determines the congestion situation of the monitoring section, and sends the determined congestion index of the monitoring section to the server. The server sends the congestion index of the monitoring section to the supervision terminal, and the supervision terminal divides the urban road into sections according to the congestion index.

[0007] Furthermore, the road planning information includes the road length, number of lane settings, lane width, number of lane merging, number of lane diverging and maximum turning angle of each monitoring section in the urban road.

[0008] Furthermore, in step S102, the analysis process obtained by the planning analysis module is specifically as follows: Obtain the road length DLi, lane number CDi, and lane width DKir of each monitoring section in the urban road, and calculate the road capacity value RLi of the monitoring section according to the formula. The specific formula is as follows: ; Wherein, i is the serial number of each monitoring section in the urban road, i is a non-zero natural number, r is the serial number of the lane in each monitoring section, r is a non-zero natural number, and the upper limit value of r is equal to the number of lanes set in the monitoring section; Then, the number of lane merges HRi, the number of lane divergences FLi and the maximum turning angle ZJi of each monitoring section in the urban road are obtained, and the road planning index GHi of the monitoring section is calculated according to the formula. The specific formula is as follows: GHi=RLi×s1+(HRi-FLi)×s2+ZJi×s3; Among them, s1, s2 and s3 are weight coefficients of fixed data, the values ​​of s1, s2 and s3 are all greater than zero and s1+s2+s3=1, s1 is the road capacity weight coefficient, s2 is the diversion pressure weight coefficient, and s3 is the road turning angle weight coefficient; Compare the road planning index of the monitored section with the road planning threshold; If the road planning index of the monitoring section is less than or equal to the first road planning threshold, the road planning level of the corresponding monitoring section is determined to be the first road planning level; If the road planning index of the monitoring section is greater than the first road planning threshold and less than or equal to the second road planning threshold, the road planning level of the corresponding monitoring section is determined to be the second road planning level; If the road planning index of the monitoring section is greater than the second road planning threshold, the road planning level of the corresponding monitoring section is determined to be the third road planning level.

[0009] Furthermore, the values ​​of the first road planning threshold and the second road planning threshold are both greater than zero, the first road planning threshold is less than the second road planning threshold, the road condition complexity of the first road planning level is lower than the road condition complexity of the second road planning level, and the road condition complexity of the second road planning level is lower than the road condition complexity of the third road planning level.

[0010] Furthermore, the device configuration scheme in step S03 specifically includes: Obtain the road planning level of each monitoring section in the urban road; If the road planning level is the first road planning level, the equipment configuration scheme corresponding to the monitoring section is the first equipment configuration interval and the first equipment monitoring range; If the road planning level is the second road planning level, the equipment configuration scheme corresponding to the monitoring section is the second equipment configuration interval and the second equipment monitoring range; If the road planning level is the third road planning level, the equipment configuration scheme corresponding to the monitoring section is the third equipment configuration interval and the third equipment monitoring range; Among them, the value of the first device configuration interval is greater than the value of the second device configuration interval, the value of the second device configuration interval is greater than the value of the third device configuration interval, the value of the first device monitoring range is smaller than the value of the second device monitoring range, and the value of the second device monitoring range is smaller than the value of the third device monitoring range.

[0011] Furthermore, the real-time traffic information includes the number of vehicles in each monitoring section, the area occupied by vehicles in each monitoring section, and the average driving speed; Real-time traffic flow information includes the number of vehicles leaving, the number of vehicles staying, the number of vehicles entering and the maximum detention time in each monitoring period in the monitoring section.

[0012] Furthermore, the analysis process of the traffic condition analysis module in step S104 is specifically as follows: The number of vehicles Ci, the area occupied by each vehicle ZDic and the average driving speed PVic of the monitoring section are obtained, and the road capacity value RLi of the monitoring section is also obtained, where c is the vehicle serial number and the upper limit of c is Ci. The traffic density index MDi and traffic speed index SDi of the monitoring section are calculated according to the formula. The specific formula is as follows: ; .

[0013] Furthermore, the analysis process of the traffic flow analysis module in step S105 is as follows: The number of vehicles leaving SLi, the number of vehicles staying ZLi, the number of vehicles entering SRi and the maximum detention time MT in each monitoring period in the monitoring section are obtained, and the traffic delay index YWi in each monitoring period in the monitoring section is calculated according to the formula. The specific formula is as follows: ; Among them, BT is the duration of the monitoring period, k1, k2 and k3 are weight coefficients with fixed values, the values ​​of k1, k2 and k3 are all greater than zero and k1+k2+k3=1, k1 is the weight coefficient of the traffic inflow and outflow difference, k2 is the weight coefficient of the stranded vehicles, and k3 is the weight coefficient of the stranded time.

[0014] Furthermore, in step S106, the congestion determination process of the congestion definition module is specifically as follows: Obtain the traffic density index of the monitored section, and compare the traffic density index of the monitored section with the standard density range; If the traffic density index belongs to the second standard density interval, the congestion index of the corresponding monitoring section is counted once; If the traffic density index belongs to the first standard density interval, it is determined that the congestion index of the corresponding monitoring section is not counted; Similarly, the traffic speed index of the monitored section is obtained and compared with the standard speed range; If the traffic speed index belongs to the first standard speed range, the congestion index of the corresponding monitoring section is determined to be counted once; If the traffic speed index belongs to the second standard speed range, it is determined that the congestion index of the corresponding monitoring section is not counted; Obtain the traffic delay index of the monitored section and compare it with the standard delay interval; If the traffic delay index belongs to the second standard delay interval, the congestion index of the corresponding monitoring section is counted once; If the traffic delay index belongs to the first standard delay interval, it is determined that the congestion index of the corresponding monitoring section is not counted; Among them, the values ​​of the standard density interval, standard speed interval and standard delay interval are all greater than zero, the values ​​of the first standard density interval are all smaller than the values ​​of the second standard density interval, the values ​​of the first standard speed interval are all smaller than the values ​​of the second standard speed interval, and the values ​​of the first standard delay interval are all smaller than the values ​​of the second delay density interval.

[0015] Furthermore, the road segment division in step S106 is specifically as follows: Obtain the congestion index YD of each monitoring section; If YD=0, the corresponding supervision section is determined as a non-congested section; If YD=1, the corresponding supervision section is judged as a lightly congested section; If YD≥2, the corresponding supervision section will be judged as a severely congested section.

[0016] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: The present invention divides urban roads into several monitoring sections according to intersections. First, a planning analysis module is used to comprehensively analyze the road planning of each monitoring section in the urban road, and the road planning level of each monitoring section in the urban road is obtained by analysis. The shooting equipment in the urban road is configured according to the road planning level. After the configuration is completed, on the one hand, the occupancy of the road capacity in the monitoring section is analyzed by the road condition analysis module, and the traffic density index and traffic speed index of the monitoring section are obtained by analysis and sent to the congestion definition module. On the other hand, the traffic delay of vehicles in the monitoring section is analyzed by the vehicle flow analysis module, and the traffic delay index of the monitoring section is obtained by analysis and sent to the congestion definition module. Finally, the congestion situation of the monitoring section is determined by the congestion definition module, and the congestion index of the monitoring section is determined. The congested sections of the urban road are divided according to the congestion index. The present invention realizes multi-faceted analysis of the congestion coefficient of the urban road based on the image information of the connected sections. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0018] Figure 1 is a flow chart of the method of the present invention; Figure 2 is the overall system block diagram of the present invention; Figure 3 It is an application scenario diagram of the planning and extraction module in the present invention; Figure 4 It is a schematic diagram of the principle of the planning and extraction module in the present invention. DETAILED DESCRIPTION

[0019] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Embodiment 1 See also Figure 1-4As shown, the technical solution provided by the present invention is: a method for analyzing urban road congestion index based on a photographing device, and the method steps specifically include: Step S101, dividing the urban road into several monitoring sections according to the intersections, the planning extraction module obtains the road planning information of each monitoring section in the urban road and sends it to the server, and the server sends the road planning information of each monitoring section in the urban road to the planning analysis module; Step S102, the planning analysis module performs a comprehensive analysis on the road planning of each monitoring section in the urban road, obtains the road planning level of each monitoring section in the urban road through the analysis and sends it to the server, and the server sends the road planning level of each monitoring section in the urban road to the device configuration terminal; Step S103, the device configuration terminal configures the shooting device on the urban road. After the shooting device configuration is completed, the data acquisition module monitors the road condition information and vehicle information of the monitoring section in real time, sends the real-time road condition information of the monitoring section to the road condition analysis module, and sends the real-time vehicle flow information to the vehicle flow analysis module; Step S104, the road condition analysis module analyzes the occupancy of the road capacity in the monitoring section, obtains the traffic density index and the traffic speed index of the monitoring section through the analysis, and sends them to the server, and the server sends the traffic density index and the traffic speed index of the monitoring section to the congestion definition module; Step S105, the traffic flow analysis module analyzes the traffic delay of the vehicles in the monitoring section, obtains the traffic delay index of the monitoring section through the analysis and sends it to the server, and the server sends the traffic delay index of the monitoring section to the congestion definition module; Step S106, the congestion definition module determines the congestion situation of the monitoring section, and sends the determined congestion index of the monitoring section to the server. The server sends the congestion index of the monitoring section to the supervision terminal, and the supervision terminal divides the urban road into sections according to the congestion index.

[0021] like Figure 2 As shown, the method involves a server, and the server is connected to a planning extraction module, a planning analysis module, an equipment configuration terminal, a data acquisition module, a road condition analysis module, a traffic flow analysis module, a congestion definition module and a supervision terminal; In this embodiment, the urban roads are divided into several monitoring sections according to the intersections, and the moving vehicles can only turn at the two ends of the monitoring section, and there is no lane for vehicles to change direction in the middle section of the monitoring section; See also Figure 3 and Figure 4As shown, the planning extraction module is used to obtain the road planning information of each monitoring section in the urban road and send it to the server. The server sends the road planning information of each monitoring section in the urban road to the planning analysis module. The road planning information includes the road length, number of lane settings, lane width, number of lane merging, number of lane diverging and maximum turning angle of each monitoring section in the urban road. Figure 3 As shown in the figure, the road length is the length of the urban road in the corresponding monitoring section, the number of lane merging is the number of lanes merging from other monitoring sections into the corresponding monitoring section, and the number of lane diverging is the number of lanes diverging from the corresponding monitoring section to other monitoring sections. Figure 4 As shown, the maximum turning angle of each monitoring section in the urban road ranges from [0° to 180°].

[0022] In this embodiment, the planning analysis module is used to conduct a comprehensive analysis of the road planning of each monitoring section in the urban road. The specific analysis process is as follows: Obtain the road length DLi, lane number CDi, and lane width DKir of each monitoring section in the urban road, and calculate the road capacity value RLi of the monitoring section according to the formula. The specific formula is as follows: ; Wherein, i is the serial number of each monitoring section in the urban road, i is a non-zero natural number, r is the serial number of the lane in each monitoring section, r is a non-zero natural number, and the upper limit value of r is equal to the number of lanes set in the monitoring section; Then, the number of lane merges HRi, the number of lane divergences FLi and the maximum turning angle ZJi of each monitoring section in the urban road are obtained, and the road planning index GHi of the monitoring section is calculated according to the formula. The specific formula is as follows: GHi=RLi×s1+(HRi-FLi)×s2+ZJi×s3; Among them, s1, s2 and s3 are weight coefficients of fixed data, the values ​​of s1, s2 and s3 are all greater than zero and s1+s2+s3=1, s1 is the road capacity weight coefficient, s2 is the diversion pressure weight coefficient, and s3 is the road turning angle weight coefficient. It can be understood that when the number of lane merging is greater than the number of lane diverging, the traffic flow is prone to congestion at the lane diverging point, and when the number of lane merging is less than or equal to the number of lane diverging, the traffic flow is not prone to congestion at the lane diverging point; Compare the road planning index of the monitored section with the road planning threshold; If the road planning index of the monitoring section is less than or equal to the first road planning threshold, the road planning level of the corresponding monitoring section is determined to be the first road planning level; If the road planning index of the monitoring section is greater than the first road planning threshold and less than or equal to the second road planning threshold, the road planning level of the corresponding monitoring section is determined to be the second road planning level; If the road planning index of the monitoring section is greater than the second road planning threshold, the road planning level of the corresponding monitoring section is determined to be the third road planning level; The values ​​of the road planning thresholds are pre-stored in a storage repository, the values ​​of the first road planning threshold and the second road planning threshold are both greater than zero, the first road planning threshold is less than the second road planning threshold, the complexity of the road conditions at the first road planning level is lower than the complexity of the road conditions at the second road planning level, and the complexity of the road conditions at the second road planning level is lower than the complexity of the road conditions at the third road planning level; The planning analysis module sends the road planning level of each monitoring section in the urban road to the server, and the server sends the road planning level of each monitoring section in the urban road to the device configuration terminal.

[0023] Furthermore, the device configuration terminal configures the shooting devices on the urban roads, and the device configuration scheme specifically includes: Obtaining the road planning level of each monitoring section in the urban road. In this embodiment, the shooting device is preferably a traffic monitoring camera; If the road planning level is the first road planning level, the equipment configuration scheme corresponding to the monitoring section is the first equipment configuration interval and the first equipment monitoring range; If the road planning level is the second road planning level, the equipment configuration scheme corresponding to the monitoring section is the second equipment configuration interval and the second equipment monitoring range; If the road planning level is the third road planning level, the equipment configuration scheme corresponding to the monitoring section is the third equipment configuration interval and the third equipment monitoring range; Among them, the value of the first device configuration interval is greater than the value of the second device configuration interval, the value of the second device configuration interval is greater than the value of the third device configuration interval, the value of the first device monitoring range is smaller than the value of the second device monitoring range, and the value of the second device monitoring range is smaller than the value of the third device monitoring range. It can be understood that the higher the complexity of the road conditions in the monitored sections of urban roads, the smaller the setting interval of the shooting equipment, and the larger the monitoring range of each shooting device.

[0024] After the camera is configured, the data acquisition module is used to monitor the road condition information and vehicle information of the monitoring section in real time. The monitoring process is as follows: Obtain real-time traffic information and traffic flow information of the monitored section; The real-time traffic information includes the number of vehicles in each monitoring section, the area occupied by the vehicles in each monitoring section, and the average driving speed, wherein the area occupied is the area of ​​the bottom of the vehicle mapped to the ground, and the average driving speed is the average speed of the vehicle in the corresponding monitoring section. In the actual working process, the area occupied by the vehicle includes the first unit area, the second unit area, and the third unit area. The first unit area corresponds to a small vehicle, such as a family car, an SUV, etc. The second unit area corresponds to a medium-sized vehicle, such as a van, a small truck, etc. The third unit area corresponds to a large vehicle, such as a truck, a bus, and the average driving speed = the road length of the monitoring section / the time it takes for the vehicle to pass the corresponding monitoring section; The real-time traffic flow information includes the number of vehicles leaving, the number of vehicles staying, the number of vehicles entering and the maximum detention time in each monitoring period in the monitoring section, wherein vehicles leaving the corresponding monitoring section in the monitoring period are recorded as leaving vehicles, vehicles that have not left the corresponding monitoring section from the beginning of the previous monitoring period to the end of the corresponding monitoring period are recorded as staying vehicles, and vehicles entering the corresponding monitoring section in the monitoring period are recorded as entering vehicles. The maximum detention time is the maximum value of the detention time of vehicles in the corresponding monitoring section. It should be specifically noted that traffic lights are set at both ends of the monitoring section, and the monitoring period starts when the traffic lights change to a pass signal and ends when the traffic lights change to a no-entry signal. The data acquisition module sends the real-time road condition information and real-time traffic flow information of the monitoring section to the server, and the server sends the real-time road condition information of the monitoring section to the road condition analysis module and sends the real-time traffic flow information to the traffic flow analysis module.

[0025] On the one hand, the road condition analysis module is used to analyze the occupancy of the road capacity in the monitoring section, and the analysis process is as follows: The number of vehicles Ci, the area occupied by each vehicle ZDic and the average driving speed PVic of the monitoring section are obtained, and the road capacity value RLi of the monitoring section is also obtained, where c is the vehicle serial number and the upper limit of c is Ci. The traffic density index MDi and traffic speed index SDi of the monitoring section are calculated according to the formula. The specific formula is as follows: ; ; It should be specifically noted that the traffic density index reflects the utilization rate of the road capacity in the corresponding monitoring section, and the traffic speed index reflects the average driving speed of vehicles in the corresponding monitoring section; The road condition analysis module sends the traffic density index and traffic speed index of the monitored section to the server, and the server sends the traffic density index and traffic speed index of the monitored section to the congestion definition module.

[0026] On the other hand, the traffic flow analysis module is used to analyze the traffic delay of vehicles in the monitoring section. The analysis process is as follows: The number of vehicles leaving SLi, the number of vehicles staying ZLi, the number of vehicles entering SRi and the maximum detention time MT in each monitoring period in the monitoring section are obtained, and the traffic delay index YWi in each monitoring period in the monitoring section is calculated according to the formula. The specific formula is as follows: ; Among them, BT is the duration of the monitoring cycle, k1, k2 and k3 are weight coefficients with fixed values, the values ​​of k1, k2 and k3 are all greater than zero and k1+k2+k3=1, k1 is the weight coefficient of the traffic inflow and outflow difference, k2 is the weight coefficient of the stranded vehicles, and k3 is the weight coefficient of the stranded duration; The traffic flow analysis module sends the traffic delay index of the monitored section to the server, and the server sends the traffic delay index of the monitored section to the congestion definition module.

[0027] In this embodiment, the congestion definition module is used to determine the congestion situation of the monitoring section. The congestion determination process is as follows: Obtain the traffic density index of the monitored section, and compare the traffic density index of the monitored section with the standard density range; If the traffic density index belongs to the second standard density interval, the congestion index of the corresponding monitoring section is counted once; If the traffic density index belongs to the first standard density interval, it is determined that the congestion index of the corresponding monitoring section is not counted; Similarly, the traffic speed index of the monitored section is obtained and compared with the standard speed range; If the traffic speed index belongs to the first standard speed range, the congestion index of the corresponding monitoring section is determined to be counted once; If the traffic speed index belongs to the second standard speed range, it is determined that the congestion index of the corresponding monitoring section is not counted; Obtain the traffic delay index of the monitored section and compare it with the standard delay interval; If the traffic delay index belongs to the second standard delay interval, the congestion index of the corresponding monitoring section is counted once; If the traffic delay index belongs to the first standard delay interval, it is determined that the congestion index of the corresponding monitoring section is not counted; Among them, the values ​​of the standard density interval, the standard speed interval and the standard delay interval are all greater than zero, the values ​​of the first standard density interval are all smaller than the values ​​of the second standard density interval, the values ​​of the first standard speed interval are all smaller than the values ​​of the second standard speed interval, and the values ​​of the first standard delay interval are all smaller than the values ​​of the second delay density interval; The congestion definition module sends the congestion index of the monitoring section to the server, and the server sends the congestion index of the monitoring section to the supervision terminal, and the supervision terminal divides the urban road into sections according to the congestion index; Obtain the congestion index YD of each monitoring section; If YD=0, the corresponding supervision section is determined as a non-congested section; If YD=1, the corresponding supervision section is judged as a lightly congested section; If YD≥2, the corresponding supervision section will be judged as a severely congested section.

[0028] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0029] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for analyzing urban road congestion index based on a photographing device, characterized in that: Urban road congestion index analysis method: Step S101, dividing the urban road into several monitoring sections according to the intersections, the planning extraction module obtains the road planning information of each monitoring section in the urban road and sends it to the server, and the server sends the road planning information of each monitoring section in the urban road to the planning analysis module; Step S102, the planning analysis module performs a comprehensive analysis on the road planning of each monitoring section in the urban road, obtains the road planning level of each monitoring section in the urban road through the analysis and sends it to the server, and the server sends the road planning level of each monitoring section in the urban road to the device configuration terminal; Step S103, the device configuration terminal configures the shooting device on the urban road. After the shooting device configuration is completed, the data acquisition module monitors the road condition information and vehicle information of the monitoring section in real time, sends the real-time road condition information of the monitoring section to the road condition analysis module, and sends the real-time vehicle flow information to the vehicle flow analysis module; Step S104, the road condition analysis module analyzes the occupancy of the road capacity in the monitoring section, obtains the traffic density index and the traffic speed index of the monitoring section through the analysis, and sends them to the server, and the server sends the traffic density index and the traffic speed index of the monitoring section to the congestion definition module; Step S105, the traffic flow analysis module analyzes the traffic delay of the vehicles in the monitoring section, obtains the traffic delay index of the monitoring section through the analysis and sends it to the server, and the server sends the traffic delay index of the monitoring section to the congestion definition module; Step S106, the congestion definition module determines the congestion situation of the monitoring section, and sends the determined congestion index of the monitoring section to the server. The server sends the congestion index of the monitoring section to the supervision terminal, and the supervision terminal divides the urban road into sections according to the congestion index.

2. The urban road congestion index analysis method based on a photographing device according to claim 1, characterized in that: Road planning information includes the road length, number of lanes, lane width, number of lane merging, number of lane diverging and maximum turning angle of each monitoring section in the urban road.

3. The urban road congestion index analysis method based on a photographing device according to claim 1, characterized in that: In step S102, the planning analysis module obtains the analysis process as follows: Obtain the road length DLi, lane number CDi, and lane width DKir of each monitoring section in the urban road, and calculate the road capacity value RLi of the monitoring section according to the formula. The specific formula is as follows: ； Wherein, i is the serial number of each monitoring section in the urban road, i is a non-zero natural number, r is the serial number of the lane in each monitoring section, r is a non-zero natural number, and the upper limit value of r is equal to the number of lanes set in the monitoring section; Then, the number of lane merges HRi, the number of lane divergences FLi and the maximum turning angle ZJi of each monitoring section in the urban road are obtained, and the road planning index GHi of the monitoring section is calculated according to the formula. The specific formula is as follows: GHi=RLi×s1+(HRi-FLi)×s2+ZJi×s3; Among them, s1, s2 and s3 are weight coefficients of fixed data, the values ​​of s1, s2 and s3 are all greater than zero and s1+s2+s3=1, s1 is the road capacity weight coefficient, s2 is the diversion pressure weight coefficient, and s3 is the road turning angle weight coefficient; The road planning index of the monitoring section is compared with the road planning threshold to determine whether the road planning level of the monitoring section is the first road planning level, the second road planning level or the third road planning level.

4. The urban road congestion index analysis method based on a photographing device according to claim 3 is characterized in that: The complexity of the road conditions at the first road planning level is lower than the complexity of the road conditions at the second road planning level; The complexity of the road conditions of the second road planning level is lower than the complexity of the road conditions of the third road planning level.

5. The urban road congestion index analysis method based on a photographing device according to claim 3 is characterized in that: The device configuration scheme in step S03 specifically includes: Obtain the road planning level of each monitoring section in the urban road; If the road planning level is the first road planning level, the equipment configuration scheme corresponding to the monitoring section is the first equipment configuration interval and the first equipment monitoring range; If the road planning level is the second road planning level, the equipment configuration scheme corresponding to the monitoring section is the second equipment configuration interval and the second equipment monitoring range; If the road planning level is the third road planning level, the equipment configuration scheme corresponding to the monitoring section is the third equipment configuration interval and the third equipment monitoring range; The value of the first device configuration interval is greater than the value of the second device configuration interval, and the value of the second device configuration interval is greater than the value of the third device configuration interval; The value of the monitoring range of the first device is smaller than the value of the monitoring range of the second device, and the value of the monitoring range of the second device is smaller than the value of the monitoring range of the third device.

6. The urban road congestion index analysis method based on a photographing device according to claim 1, characterized in that: Real-time traffic information includes the number of vehicles in each monitoring section, the area occupied by vehicles in each monitoring section, and the average driving speed; Real-time traffic flow information includes the number of vehicles leaving, the number of vehicles staying, the number of vehicles entering and the maximum detention time in each monitoring period in the monitoring section.

7. The urban road congestion index analysis method based on a photographing device according to claim 6, characterized in that: The analysis process of the traffic analysis module in step S104 is as follows: The number of vehicles Ci, the area occupied by each vehicle ZDic and the average driving speed PVic of the monitoring section are obtained, and the road capacity value RLi of the monitoring section is also obtained, where c is the vehicle serial number and the upper limit of c is Ci. The traffic density index MDi and traffic speed index SDi of the monitoring section are calculated according to the formula. The specific formula is as follows: ； 。 8. The urban road congestion index analysis method based on a photographing device according to claim 7, characterized in that: The analysis process of the traffic flow analysis module in step S105 is as follows: The number of vehicles leaving SLi, the number of vehicles staying ZLi, the number of vehicles entering SRi and the maximum detention time MT in each monitoring period in the monitoring section are obtained, and the traffic delay index YWi in each monitoring period in the monitoring section is calculated according to the formula. The specific formula is as follows: ； Among them, BT is the duration of the monitoring period, k1, k2 and k3 are weight coefficients with fixed values, the values ​​of k1, k2 and k3 are all greater than zero and k1+k2+k3=1, k1 is the weight coefficient of the traffic inflow and outflow difference, k2 is the weight coefficient of the stranded vehicles, and k3 is the weight coefficient of the stranded time.

9. The urban road congestion index analysis method based on a photographing device according to claim 8, characterized in that: In step S106, the congestion determination process of the congestion definition module is as follows: Obtain the traffic density index of the monitored section, and compare the traffic density index of the monitored section with the standard density range; If the traffic density index belongs to the second standard density interval, the congestion index of the corresponding monitoring section is counted once; If the traffic density index belongs to the first standard density interval, it is determined that the congestion index of the corresponding monitoring section is not counted; Similarly, the traffic speed index of the monitored section is obtained and compared with the standard speed range; If the traffic speed index belongs to the first standard speed interval, the congestion index of the corresponding monitoring section is determined to be counted once; If the traffic speed index belongs to the second standard speed range, it is determined that the congestion index of the corresponding monitoring section is not counted; Obtain the traffic delay index of the monitored section and compare it with the standard delay interval; If the traffic delay index belongs to the second standard delay interval, the congestion index of the corresponding monitoring section is counted once; If the traffic delay index belongs to the first standard delay interval, it is determined that the congestion index of the corresponding monitoring section is not counted; Among them, the values ​​of the standard density interval, standard speed interval and standard delay interval are all greater than zero, the values ​​of the first standard density interval are all smaller than the values ​​of the second standard density interval, the values ​​of the first standard speed interval are all smaller than the values ​​of the second standard speed interval, and the values ​​of the first standard delay interval are all smaller than the values ​​of the second delay density interval.

10. The urban road congestion index analysis method based on a photographing device according to claim 1, characterized in that: The road segment division in step S106 is specifically as follows: Obtain the congestion index YD of each monitoring section; If YD=0, the corresponding supervision section is determined as a non-congested section; If YD=1, the corresponding supervision section is judged as a lightly congested section; If YD≥2, the corresponding supervision section will be judged as a severely congested section.

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