A dynamic green wave signal control method, system, device and storage medium

Abstract

The present application relates to a dynamic green wave signal control method, system, device and storage medium, and relates to the technical field of traffic signal mode control. The method includes: obtaining the actual total number of vehicles and the number of lanes of the current road section; analyzing and obtaining the road section benchmark total number of vehicles corresponding to the road section lane number according to the corresponding relationship between the road section lane number and the road section benchmark total number of vehicles; judging whether the actual total number of vehicles in the road section is greater than the road section benchmark total number of vehicles; if yes, analyzing and calculating the difference between the actual total number of vehicles in the road section and the road section benchmark total number of vehicles and using it as the number of excess vehicles in the road section; analyzing and obtaining the excess green wave signal control scheme corresponding to the excess number of vehicles in the road section according to the corresponding relationship between the road section excess number of vehicles and the excess green wave signal control scheme, and executing it; if no, executing the conventional green wave signal control scheme. The present application has the effect of reducing the probability of traffic congestion when the traffic volume in the traffic line increases.

Description

Technical Field

[0001] The present application relates to the technical field of traffic signal mode control, and in particular to a dynamic green wave signal control method, system, device and storage medium. Background Art

[0002] With the development of society and economy, there are more and more vehicles in cities. In order to prevent traffic jams at road intersections, traffic lights are generally set at each intersection so that vehicles and pedestrians arriving at the intersection can pass smoothly and orderly according to the traffic lights.

[0003] In the related art, since traffic lights are set at each intersection, when single-point signal control is performed at each intersection, vehicles often encounter red lights and stop and start from time to time, resulting in traffic problems such as low efficiency of road network operation. In order to reduce the parking time of vehicles at each intersection, green waves are generally used to control traffic signals at multiple adjacent intersections. By outputting static green wave signals, the speed range of vehicles when driving on the traffic lines of multiple adjacent intersection traffic signals is prompted. When the vehicle maintains this speed range, the vehicle arrives at each intersection and encounters a "green light", thereby reducing the time the vehicle waits for the red light and improving the vehicle's traffic capacity.

[0004] With respect to the above-mentioned related technologies, the inventors have found the following defects: during rush hours or holidays, the traffic volume in the traffic route will increase compared to normal time periods. Since the speed of the vehicle specified by the output static green wave signal will not change, when too many vehicles are traveling on the same traffic route in the same time period, it is easy to cause traffic congestion in the traffic route, making it difficult for vehicles to travel at the speed specified by the green wave signal, which will cause the vehicles to encounter more red lights in the subsequent passage process, further increasing the probability of traffic congestion. Summary of the invention

[0005] In order to reduce the probability of traffic congestion when the volume of vehicles traveling on a traffic route increases, the present application provides a dynamic green wave signal control method, system, device and storage medium.

[0006] In a first aspect, the present application provides a dynamic green wave signal control method, which adopts the following technical solution:

[0007] A dynamic green wave signal control method, comprising:

[0008] Get the actual total number of vehicles and lanes on the current road section;

[0009] According to the corresponding relationship between the number of lanes of the road section and the preset total number of benchmark vehicles of the road section, the total number of benchmark vehicles of the road section corresponding to the number of lanes of the road section is analyzed and obtained;

[0010] Determine whether the actual total number of vehicles on the road section is greater than the benchmark total number of vehicles on the road section;

[0011] If yes, then according to the actual total number of vehicles on the road section and the benchmark total number of vehicles on the road section, the difference between the actual total number of vehicles on the road section and the benchmark total number of vehicles on the road section is analyzed and calculated and used as the number of excess vehicles on the road section;

[0012] According to the correspondence between the number of excess vehicles on the road section and the preset excess green wave signal control scheme, the excess green wave signal control scheme corresponding to the number of excess vehicles on the road section is analyzed and obtained, and the excess green wave signal control scheme is executed;

[0013] If not, the preset conventional green wave signal control scheme is executed.

[0014] By adopting the above technical scheme, the actual total number of vehicles and the number of lanes of the current road section are obtained, and the benchmark total number of vehicles of the section is obtained by analyzing the number of lanes of the section, and then it is judged whether the actual total number of vehicles of the section is greater than the benchmark total number of vehicles of the section. When the actual total number of vehicles of the section is greater than the benchmark total number of vehicles of the section, the difference between the actual total number of vehicles of the section and the benchmark total number of vehicles of the section is analyzed and calculated by the actual total number of vehicles of the section and the benchmark total number of vehicles of the section, and the difference between the actual total number of vehicles of the section and the benchmark total number of vehicles of the section is used as the excess number of vehicles of the section, and then the excess green wave signal control scheme is obtained through the analysis of the excess number of vehicles of the section, and the excess green wave signal control scheme is executed. When the actual total number of vehicles of the section is not greater than the benchmark total number of vehicles of the section, the preset conventional green wave signal control scheme is executed, so that when the traffic volume in the traffic line increases, the green wave signal control scheme is adjusted, thereby reducing the probability of traffic congestion when the traffic volume in the traffic line increases.

[0015] Optionally, according to the correspondence between the number of excess vehicles on the road section and the preset excess green wave signal control scheme, analyzing and obtaining the excess green wave signal control scheme corresponding to the number of excess vehicles on the road section includes:

[0016] Get the length of the current road section and the actual interval between vehicles leaving the road section;

[0017] According to the corresponding relationship between the number of excess vehicles on the road section, the number of lanes on the road section, the length of the road section and the preset vehicle interval distance prediction value of the road section, the predicted value of the vehicle interval distance on the road section corresponding to the number of excess vehicles on the road section, the number of lanes on the road section and the length of the road section is analyzed and obtained;

[0018] According to the correspondence between the predicted value of the interval distance between vehicles on the road section, the actual interval time period between vehicles leaving the road section and the preset final predicted value of the vehicle speed on the road section, the final predicted value of the vehicle speed on the road section corresponding to the predicted value of the interval distance between vehicles on the road section and the actual interval time period between vehicles leaving the road section is analyzed and obtained;

[0019] According to the final predicted value of the road section vehicle speed and the preset reference value of the conventional vehicle speed of the road section, the difference between the final predicted value of the road section vehicle speed and the preset reference value of the conventional vehicle speed of the road section is analyzed and calculated and used as the road section vehicle speed difference;

[0020] According to the corresponding relationship between the road section vehicle speed difference and the preset excess green wave signal control scheme, the excess green wave signal control scheme corresponding to the road section vehicle speed difference is analyzed and obtained.

[0021] By adopting the above technical scheme, the section length value of the current section and the actual interval time period between vehicles leaving the section are obtained, and the predicted value of the vehicle interval distance of the section is obtained by analyzing the number of excess vehicles on the section, the number of lanes on the section and the section length value. The final predicted value of the section speed is obtained by analyzing the predicted value of the vehicle interval distance on the section and the actual interval time period between vehicles leaving the section. The difference between the final predicted value of the section speed and the preset conventional speed reference value of the section is analyzed and calculated by comparing the final predicted value of the section speed with the preset conventional speed reference value of the section. The difference between the final predicted value of the section speed and the preset conventional speed reference value of the section is used as the section speed difference. The excess green wave signal control scheme is then obtained by analyzing the speed difference of each section, thereby improving the accuracy of the obtained excess green wave signal control scheme, and thereby reducing the probability of traffic congestion when the vehicle volume on the traffic route increases.

[0022] Optionally, according to the correspondence between the number of excess vehicles on a road section, the number of lanes on a road section, the length of a road section and a preset predicted value of the vehicle interval distance on a road section, analyzing and obtaining the predicted value of the vehicle interval distance on a road section corresponding to the number of excess vehicles on a road section, the number of lanes on a road section and the length of a road section includes:

[0023] According to the corresponding relationship between the number of excess vehicles on the road section, the length of the road section and the preset single-lane vehicle interval distance prediction value, the single-lane vehicle interval distance prediction value corresponding to the number of excess vehicles on the road section and the length of the road section is analyzed and obtained;

[0024] Determine whether the number of lanes in the road section is greater than one;

[0025] If yes, then according to the correspondence between the number of lanes on the road section and the preset multi-lane vehicle spacing distance influence value, the multi-lane vehicle spacing distance influence value corresponding to the number of lanes on the road section is analyzed and obtained;

[0026] According to the corresponding relationship between the multi-lane vehicle interval distance influence value, the single-lane vehicle interval distance prediction value and the preset multi-lane vehicle interval distance prediction value, the multi-lane vehicle interval distance prediction value corresponding to the multi-lane vehicle interval distance influence value and the single-lane vehicle interval distance prediction value is analyzed and obtained, and the multi-lane vehicle interval distance prediction value is used as the road section vehicle interval distance prediction value;

[0027] If not, the predicted value of the vehicle distance between single lanes will be used as the predicted value of the vehicle distance between road sections.

[0028] By adopting the above technical scheme, the single-lane vehicle interval distance prediction value is obtained by analyzing the number of excess vehicles on the road section and the road section length value, and it is judged whether the number of lanes on the road section is greater than one. When the number of lanes on the road section is greater than one, the multi-lane vehicle interval distance impact value is obtained by analyzing the number of lanes on the road section, and the multi-lane vehicle interval distance prediction value is obtained by analyzing the multi-lane vehicle interval distance impact value and the single-lane vehicle interval distance prediction value, and the multi-lane vehicle interval distance prediction value is used as the road section vehicle interval distance prediction value; when the number of lanes on the road section is not greater than one, the single-lane vehicle interval distance prediction value is used as the road section vehicle interval distance prediction value, thereby improving the accuracy of the obtained road section vehicle interval distance prediction value, and finally achieving the purpose of reducing the probability of traffic congestion problems when the vehicle volume on the traffic line increases.

[0029] Optionally, according to the correspondence between the predicted value of the road section vehicle interval distance, the actual interval time period for vehicles leaving the road section, and the preset final predicted value of the road section vehicle speed, analyzing and obtaining the final predicted value of the road section vehicle speed corresponding to the predicted value of the road section vehicle interval distance and the actual interval time period for vehicles leaving the road section includes:

[0030] According to the correspondence between the predicted value of the interval between vehicles on the road section, the actual interval time period between vehicles leaving the road section and the preset initial predicted value of the vehicle speed on the road section, the initial predicted value of the vehicle speed on the road section corresponding to the predicted value of the interval between vehicles on the road section and the actual interval time period between vehicles leaving the road section is analyzed and obtained;

[0031] Get the vehicle type information of the current road section;

[0032] Determine whether the road section vehicle type information includes preset safety guarantee vehicle type information;

[0033] If yes, then analyzing and obtaining the safety guarantee vehicle speed influence value corresponding to the safety guarantee vehicle type information according to the correspondence between the safety guarantee vehicle type information and the preset safety guarantee vehicle speed influence value;

[0034] According to the corresponding relationship between the safety guarantee speed impact value, the initial prediction value of the section speed and the preset section speed vehicle type impact prediction value, the section speed vehicle type impact prediction value corresponding to the safety guarantee speed impact value and the initial prediction value of the section speed is analyzed and obtained, and the section speed vehicle type impact prediction value is used as the final prediction value of the section speed;

[0035] If not, the initial predicted value of the road section speed is used as the final predicted value of the road section speed.

[0036] By adopting the above technical scheme, the initial prediction value of the road section vehicle speed is obtained by analyzing the predicted value of the vehicle interval distance of the road section and the actual interval time period of the vehicles leaving the road section, and the road section vehicle type information of the current road section is obtained, and then it is judged whether the road section vehicle type information contains the preset safety assurance vehicle type information. When the road section vehicle type information contains the preset safety assurance vehicle type information, the safety assurance vehicle speed impact value is obtained by analyzing the safety assurance vehicle type information, and the road section vehicle speed vehicle type impact prediction value is obtained by analyzing the safety assurance vehicle speed impact value and the initial prediction value of the road section vehicle speed, and the road section vehicle speed vehicle type impact prediction value is used as the final prediction value of the road section vehicle speed. When the road section vehicle type information does not contain the preset safety assurance vehicle type information, the initial prediction value of the road section speed is used as the final prediction value of the road section speed, thereby improving the accuracy of the obtained final prediction value of the road section vehicle speed, and finally achieving the purpose of reducing the probability of traffic congestion problems when the vehicle volume in the traffic line increases.

[0037] Optionally, according to the correspondence between the predicted value of the road section vehicle interval distance, the actual interval time period for vehicles leaving the road section, and the preset initial predicted value of the road section vehicle speed, analyzing and obtaining the initial predicted value of the road section vehicle speed corresponding to the predicted value of the road section vehicle interval distance and the actual interval time period for vehicles leaving the road section includes:

[0038] When the predicted value of the vehicle interval distance of the road section is the predicted value of the vehicle interval distance of a single lane, according to the corresponding relationship between the predicted value of the vehicle interval distance of the single lane, the actual interval time period of vehicles leaving the road section and the preset initial predicted value of the vehicle speed of the single lane, the initial predicted value of the vehicle speed of the single lane corresponding to the predicted value of the vehicle interval distance of the single lane and the actual interval time period of vehicles leaving the road section is analyzed and obtained, and the initial predicted value of the vehicle speed of the single lane is used as the initial predicted value of the vehicle speed of the road section;

[0039] When the predicted value of the interval distance between vehicles on a road section is the predicted value of the interval distance between vehicles on multiple lanes, according to the corresponding relationship between the predicted value of the interval distance between vehicles on multiple lanes, the actual interval time period between vehicles leaving the road section and the preset initial predicted value of the multi-lane vehicle speed, the initial predicted value of the multi-lane vehicle speed corresponding to the predicted value of the interval distance between vehicles on multiple lanes and the actual interval time period between vehicles leaving the road section is analyzed and obtained;

[0040] Determine whether the predicted value of the multi-lane vehicle interval distance is greater than a preset multi-lane vehicle interval distance reference value;

[0041] If not, the initial predicted value of the multi-lane vehicle speed is used as the initial predicted value of the road section vehicle speed;

[0042] If yes, then according to the judgment result of whether the initial predicted value of the multi-lane vehicle speed is greater than the preset road section overtaking vehicle speed reference value, the multi-lane vehicle overtaking influence value is analyzed and obtained;

[0043] According to the correspondence between the multi-lane vehicle speed initial prediction value, the multi-lane vehicle overtaking influence value and the preset multi-lane vehicle speed overtaking prediction value, the multi-lane vehicle speed overtaking prediction value corresponding to the multi-lane vehicle speed initial prediction value and the multi-lane vehicle overtaking influence value is analyzed and obtained, and the multi-lane vehicle speed overtaking prediction value is used as the initial prediction value of the road section vehicle speed.

[0044] By adopting the above technical scheme, when the predicted value of the vehicle interval distance of the road section is the predicted value of the vehicle interval distance of a single lane, the initial predicted value of the single lane speed is obtained by analyzing the predicted value of the vehicle interval distance of a single lane and the actual interval time period of the vehicles leaving the road section, and the initial predicted value of the single lane speed is used as the initial predicted value of the vehicle speed of the road section; when the predicted value of the vehicle interval distance of the road section is the predicted value of the vehicle interval distance of a multi-lane, the initial predicted value of the multi-lane speed is obtained by analyzing the predicted value of the vehicle interval distance of a multi-lane and the actual interval time period of the vehicles leaving the road section, and it is judged whether the predicted value of the vehicle interval distance of a multi-lane is greater than the preset multi-lane vehicle interval distance reference value; when the predicted value of the vehicle interval distance of a multi-lane is not greater than the preset multi-lane vehicle interval distance reference value, the initial predicted value of the vehicle speed of a multi-lane is used as the initial predicted value of the vehicle speed of a multi-lane. When the interval distance benchmark value is reached, the initial predicted value of the multi-lane vehicle speed is used as the initial predicted value of the section speed. When the multi-lane vehicle interval distance predicted value is greater than the preset multi-lane vehicle interval distance benchmark value, the multi-lane vehicle overtaking influence value is analyzed and obtained through the judgment result of whether the initial predicted value of the multi-lane vehicle speed is greater than the preset section overtaking speed benchmark value. The multi-lane vehicle speed overtaking prediction value is obtained through the analysis of the multi-lane vehicle speed initial prediction value and the multi-lane vehicle overtaking influence value, and the multi-lane vehicle speed overtaking prediction value is used as the initial predicted value of the section speed, thereby improving the accuracy of the obtained initial predicted value of the section speed, and finally achieving the purpose of reducing the probability of traffic congestion when the vehicle volume in the traffic line increases.

[0045] Optionally, according to the judgment result of whether the initial predicted value of the multi-lane vehicle speed is greater than a preset road section overtaking vehicle speed reference value, analyzing and obtaining the multi-lane vehicle overtaking influence value includes:

[0046] Determine whether the initial predicted value of the multi-lane vehicle speed is greater than a preset road section overtaking vehicle speed reference value;

[0047] If yes, then according to the initial predicted value of the multi-lane vehicle speed and the reference value of the overtaking vehicle speed on the road section, the difference between the initial predicted value of the multi-lane vehicle speed and the reference value of the overtaking vehicle speed on the road section is analyzed and calculated and used as the overtaking vehicle speed difference on the road section;

[0048] According to the corresponding relationship between the speed difference of overtaking vehicles on the road section and the preset overtaking influence value of the road section, the overtaking influence value of the road section corresponding to the speed difference of overtaking vehicles on the road section is analyzed and obtained, and the overtaking influence value of the road section is used as the overtaking influence value of multi-lane vehicles;

[0049] If not, the preset road section non-overtaking impact value is output, and the road section non-overtaking impact value is used as the multi-lane vehicle overtaking impact value.

[0050] By adopting the above technical scheme, it is judged whether the initial prediction value of the multi-lane vehicle speed is greater than the preset section overtaking speed reference value. When the initial prediction value of the multi-lane vehicle speed is greater than the preset section overtaking speed reference value, the difference between the initial prediction value of the multi-lane vehicle speed and the section overtaking speed reference value is analyzed and calculated through the initial prediction value of the multi-lane vehicle speed and the section overtaking speed reference value, and the difference between the initial prediction value of the multi-lane vehicle speed and the section overtaking speed reference value is used as the section overtaking speed difference. Then, the section overtaking impact value is obtained through the section overtaking speed difference analysis, and the section overtaking impact value is used as the multi-lane vehicle overtaking impact value. When the initial prediction value of the multi-lane vehicle speed is not greater than the preset section overtaking speed reference value, the preset section non-overtaking impact value is output, and the section non-overtaking impact value is used as the multi-lane vehicle overtaking impact value, thereby improving the accuracy of the obtained multi-lane vehicle overtaking impact value, and finally achieving the purpose of reducing the probability of traffic congestion problems when the vehicle volume traveling on the traffic line increases.

[0051] Optionally, according to the correspondence between the road section vehicle speed difference and the preset excess green wave signal control scheme, analyzing and obtaining the excess green wave signal control scheme corresponding to the road section vehicle speed difference includes:

[0052] According to the correspondence between the road section vehicle speed difference and the preset green wave speed adjustment value, the green wave speed adjustment value corresponding to the road section vehicle speed difference is analyzed and obtained;

[0053] According to the green wave speed adjustment value and the preset green wave speed reference value, the sum of the green wave speed adjustment value and the preset green wave speed reference value is analyzed and calculated and used as the final green wave speed value;

[0054] According to the corresponding relationship between the final value of the green wave speed and the preset excess green wave signal control scheme, the excess green wave signal control scheme corresponding to the final value of the green wave speed is analyzed and obtained.

[0055] By adopting the above technical scheme, the green wave speed adjustment value is obtained by analyzing the speed difference of the road section, and then the sum between the green wave speed adjustment value and the preset green wave speed reference value is analyzed and calculated, and the sum between the green wave speed adjustment value and the preset green wave speed reference value is used as the final green wave speed value, and then the excess green wave signal control scheme is obtained through the analysis of the final green wave speed value, thereby improving the accuracy of the obtained excess green wave signal control scheme, and finally achieving the purpose of reducing the probability of traffic congestion problems occurring when the vehicle volume traveling on the traffic line increases.

[0056] In a second aspect, the present application provides a dynamic green wave signal control system, which adopts the following technical solution:

[0057] A dynamic green wave signal control system, comprising:

[0058] The acquisition module is used to obtain the actual total number of vehicles on the road section, the number of lanes on the road section, the length of the road section, the actual interval time period for vehicles leaving the road section, and the type of vehicle on the road section;

[0059] A memory, used to store a program of a dynamic green wave signal control method as described in any one of the first aspects;

[0060] The program in the memory can be loaded and executed by the processor to implement a dynamic green wave signal control method as described in any one of the first aspects.

[0061] By adopting the above technical solution, the actual total number of vehicles on the road section, the number of lanes on the road section, the length of the road section, the actual interval time period between vehicles leaving the section and the type of vehicle on the road section are obtained through the acquisition module, and the program in the memory is loaded and executed by the processor, thereby achieving the purpose of reducing the probability of traffic congestion problems occurring when the vehicle volume on the traffic route increases.

[0062] In a third aspect, the present application provides a dynamic green wave signal control device, which adopts the following technical solution:

[0063] A dynamic green wave signal control device comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes a dynamic green wave signal control method as described in any one of the first aspects.

[0064] By adopting the above technical solution, the processor loads and executes the program in the memory, thereby achieving the purpose of reducing the probability of traffic congestion problems occurring when the traffic volume on the traffic line increases.

[0065] In a fourth aspect, the present application provides a computer storage medium capable of storing a corresponding program, which has the characteristic of facilitating the reduction of the probability of traffic congestion when the traffic volume on the traffic route increases, and adopts the following technical solution:

[0066] A computer storage medium stores a computer program that can be loaded by a processor and execute a dynamic green wave signal control method as described in any one of the first aspects.

[0067] By adopting the above technical solution, the program is stored in a storage medium so that it can be loaded and executed by a processor when needed, thereby achieving the purpose of reducing the probability of traffic congestion when the traffic volume on the traffic line increases.

[0068] In summary, the present application includes at least one of the following beneficial technical effects:

[0069] 1. The actual total number of vehicles and lanes of the current road section is obtained, and the benchmark total number of vehicles of the road section is obtained by analyzing the number of lanes of the road section, and then it is judged whether the actual total number of vehicles of the road section is greater than the benchmark total number of vehicles of the road section. When the actual total number of vehicles of the road section is greater than the benchmark total number of vehicles of the road section, the difference between the actual total number of vehicles of the road section and the benchmark total number of vehicles of the road section is analyzed and calculated as the excess number of vehicles of the road section, and then the excess green wave signal control scheme is obtained through the analysis of the excess number of vehicles of the road section, and the excess green wave signal control scheme is executed. When the actual total number of vehicles of the road section is not greater than the benchmark total number of vehicles of the road section, the preset conventional green wave signal control scheme is executed, so that when the traffic volume in the traffic line increases, the green wave signal control scheme is adjusted, thereby reducing the probability of traffic congestion when the traffic volume in the traffic line increases;

[0070] 2. Obtain the predicted value of the vehicle interval distance of a single lane by analyzing the number of excess vehicles on the road section and the length of the road section, and judge whether the number of lanes on the road section is greater than one. When the number of lanes on the road section is greater than one, obtain the impact value of the vehicle interval distance of multiple lanes by analyzing the number of lanes on the road section, obtain the predicted value of the vehicle interval distance of multiple lanes by analyzing the impact value of the vehicle interval distance of multiple lanes and the predicted value of the vehicle interval distance of single lane, and use it as the predicted value of the vehicle interval distance of the road section. When the number of lanes on the road section is not greater than one, use the predicted value of the vehicle interval distance of single lane as the predicted value of the vehicle interval distance of the road section, thereby improving the accuracy of the obtained predicted value of the vehicle interval distance of the road section;

[0071] 3. The initial prediction value of the road section vehicle speed is obtained by analyzing the predicted value of the vehicle interval distance of the road section and the actual interval time period of the vehicles leaving the road section, and the road section vehicle type information of the current road section is obtained, and then it is judged whether the road section vehicle type information contains the preset safety assurance vehicle type information. When the road section vehicle type information contains the preset safety assurance vehicle type information, the safety assurance vehicle speed impact value is obtained by analyzing the safety assurance vehicle type information, and the road section vehicle speed vehicle type impact prediction value is obtained by analyzing the safety assurance vehicle speed impact value and the initial prediction value of the road section vehicle speed, and used as the final prediction value of the road section vehicle speed. When the road section vehicle type information does not contain the preset safety assurance vehicle type information, the initial prediction value of the road section vehicle speed is used as the final prediction value of the road section vehicle speed, thereby improving the accuracy of the obtained final prediction value of the road section vehicle speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is a flow chart of a method for dynamic green wave signal control according to an embodiment of the present application.

[0073] Figure 2 It is a flow chart of a method for analyzing and obtaining an excess green wave signal control scheme corresponding to the number of excess vehicles on a road section according to the correspondence between the number of excess vehicles on a road section and a preset excess green wave signal control scheme in an embodiment of the present application.

[0074] Figure 3 It is a flow chart of a method for analyzing and obtaining a predicted value of the vehicle interval distance between a road section corresponding to the number of excess vehicles on a road section, the number of lanes on a road section, and the length of a road section according to the correspondence between the number of excess vehicles on a road section, the number of lanes on a road section, and the length of a road section and a preset predicted value of the vehicle interval distance between the road section in an embodiment of the present application.

[0075] Figure 4 It is a flow chart of a method for analyzing and obtaining a final predicted value of a road section vehicle speed corresponding to the predicted value of the road section vehicle interval distance and the actual interval time period for vehicle departure from the road section according to the correspondence between the predicted value of the road section vehicle interval distance, the actual interval time period for vehicle departure from the road section and the preset final predicted value of the road section vehicle speed in an embodiment of the present application.

[0076] Figure 5 It is a flow chart of a method for analyzing and obtaining an initial prediction value of a road section vehicle speed corresponding to the predicted value of the road section vehicle interval distance and the actual interval time period for vehicle departure from the road section according to the correspondence between the predicted value of the road section vehicle interval distance, the actual interval time period for vehicle departure from the road section and the preset initial prediction value of the road section vehicle speed in an embodiment of the present application.

[0077] Figure 6 It is a flow chart of a method for analyzing and obtaining a multi-lane vehicle overtaking influence value according to a judgment result of whether an initial predicted multi-lane vehicle speed value is greater than a preset road section overtaking speed reference value in an embodiment of the present application.

[0078] Figure 7 It is a flow chart of a method for analyzing and obtaining an excess green wave signal control scheme corresponding to a road section vehicle speed difference according to the correspondence between the road section vehicle speed difference and the preset excess green wave signal control scheme in an embodiment of the present application.

[0079] Figure 8 It is a system flow chart of dynamic green wave signal control according to an embodiment of the present application.

[0080] Explanation of the accompanying drawings: 1. Acquisition module; 2. Memory; 3. Processor. DETAILED DESCRIPTION

[0081] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-8 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0082] The embodiment of the present application discloses a dynamic green wave signal control method.

[0083] Reference Figure 1 , a dynamic green wave signal control method includes:

[0084] Step S100, obtaining the actual total number of vehicles and the number of lanes on the current road section.

[0085] Among them, the actual total number of vehicles on a road section refers to the total number of vehicles actually traveling on the current road section. The actual total number of vehicles on a road section is obtained by obtaining the number of vehicles entering the road section at the current time, the number of vehicles leaving the road section at the current time, and the number of vehicles left on the road section, and then subtracting the sum of the number of vehicles entering the road section at the current time and the number of vehicles left on the road section from the number of vehicles leaving the road section at the current time for analysis and calculation.

[0086] The number of lanes in a road section refers to the number of lanes in the current road section, and the number of lanes in the road section is obtained by querying a database storing the number of lanes in the road section.

[0087] Step S200: Analyze and obtain the road section benchmark total number of vehicles corresponding to the road section lane number according to the corresponding relationship between the road section lane number and the preset road section benchmark total number of vehicles.

[0088] The benchmark total number of vehicles on a road section refers to the maximum number of vehicles in the current road section that is not likely to cause congestion under the instruction of a green wave signal. The benchmark total number of vehicles on the road section is obtained by querying a database storing the benchmark total number of vehicles on the road section.

[0089] The total benchmark number of vehicles on the road section is obtained by analyzing the number of lanes on the road section, so as to facilitate the subsequent use of the total benchmark number of vehicles on the road section.

[0090] Step S300, determining whether the actual total number of vehicles on the road section is greater than the reference total number of vehicles on the road section. If yes, proceed to step S400; if no, proceed to step S600.

[0091] Among them, by judging whether the actual total number of vehicles in the road section is greater than the benchmark total number of vehicles in the road section, it is judged whether the total number of vehicles actually traveling in the current road section is greater than the maximum number of vehicles in the current road section that is not likely to cause congestion under the instruction of the green wave signal.

[0092] Step S400, according to the actual total number of vehicles on the road section and the benchmark total number of vehicles on the road section, the difference between the actual total number of vehicles on the road section and the benchmark total number of vehicles on the road section is analyzed and calculated and used as the excess number of vehicles on the road section.

[0093] The excess number of vehicles on a road section refers to the number of vehicles actually traveling on the current road section exceeding the maximum number of vehicles on the current road section that is not likely to cause congestion under the guidance of a green wave signal.

[0094] When the actual total number of vehicles on a road section is greater than the benchmark total number of vehicles on the road section, it means that the total number of vehicles actually traveling on the current road section at this time is greater than the maximum number of vehicles in the current road section that is not likely to cause congestion under the indication of the green wave signal. Therefore, the difference between the actual total number of vehicles on the road section and the benchmark total number of vehicles on the road section is analyzed and calculated through the actual total number of vehicles on the road section and the benchmark total number of vehicles on the road section, and the difference between the actual total number of vehicles on the road section and the benchmark total number of vehicles on the road section is used as the number of excess vehicles on the road section, so as to facilitate the subsequent use of the excess vehicles on the road section.

[0095] Step S500, according to the correspondence between the number of excess vehicles on the road section and the preset excess green wave signal control scheme, analyze and obtain the excess green wave signal control scheme corresponding to the number of excess vehicles on the road section, and execute the excess green wave signal control scheme.

[0096] Among them, the excess green wave signal control plan refers to a plan for controlling the green wave signal when the number of vehicles actually traveling on the current road section exceeds the benchmark total number of vehicles on the road section. The excess green wave signal control plan is obtained by querying from a database that stores the excess green wave signal control plans.

[0097] The excess green wave signal control plan is obtained by analyzing the number of excess vehicles on the road section, and the excess green wave signal control plan is executed. Therefore, when the vehicle volume in the traffic line increases, the green wave signal control plan is adjusted, thereby reducing the probability of traffic congestion problems occurring when the vehicle volume in the traffic line increases.

[0098] Step S600, executing a preset conventional green wave signal control scheme.

[0099] The conventional green wave signal control scheme refers to a scheme for controlling the green wave signal when the number of vehicles actually traveling on the current road section does not exceed the total number of vehicles on the road section. The conventional green wave signal control scheme is obtained by querying a database storing conventional green wave signal control schemes.

[0100] When the actual total number of vehicles on a road section is not greater than the benchmark total number of vehicles on the road section, it means that the total number of vehicles actually traveling on the current road section is not greater than the maximum number of vehicles in the current road section that is not likely to cause congestion under the instruction of a green wave signal, so the preset conventional green wave signal control scheme is directly executed.

[0101] exist Figure 1 In step S500, in order to further ensure the rationality of the excess green wave signal control scheme, it is necessary to further analyze and calculate the excess green wave signal control scheme. Figure 2 The steps shown are explained in detail.

[0102] Reference Figure 2 According to the corresponding relationship between the number of excess vehicles on a road section and the preset excess green wave signal control scheme, analyzing and obtaining the excess green wave signal control scheme corresponding to the number of excess vehicles on the road section includes the following steps:

[0103] Step S510, obtaining the section length value of the current section and the actual interval time period for vehicles to leave the section.

[0104] The section length value refers to the length of the current section, which is obtained by locating the two end points of the current section by GPS and analyzing and calculating. The two end points of the current section can be obtained by GPS sensors preset at the two end points of the current section.

[0105] The actual interval time period for vehicles leaving the road section refers to the interval time between two adjacent vehicles leaving the current road section. The actual interval time period for vehicles leaving the road section is obtained by obtaining the time point when two adjacent vehicles leave the current road section and performing analysis and calculation. The time point when two adjacent vehicles leave the current road section can be obtained from a database obtained when the vehicle leaves through an image recognition device, or from a database obtained when the vehicle leaves through a photoelectric sensor. The time point when two adjacent vehicles leave the current road section can also be obtained from a database obtained when the vehicle leaves through a pressure sensor.

[0106] Step S520, according to the correspondence between the number of excess vehicles on the road section, the number of lanes on the road section, the length of the road section and the preset vehicle interval distance prediction value of the road section, analyze and obtain the vehicle interval distance prediction value corresponding to the number of excess vehicles on the road section, the number of lanes on the road section and the length of the road section.

[0107] The predicted value of the road section vehicle interval distance refers to the predicted value of the distance between two adjacent vehicles that have exited the current road section. The predicted value of the road section vehicle interval distance is obtained by querying a database storing the predicted value of the road section vehicle interval distance.

[0108] The predicted value of the vehicle interval distance on the road section is obtained by analyzing the number of excess vehicles on the road section, the number of lanes on the road section and the length of the road section, so as to facilitate the subsequent use of the predicted value of the vehicle interval distance on the road section.

[0109] Step S530, according to the correspondence between the predicted value of the road section vehicle interval distance, the actual interval time period for vehicles leaving the road section and the preset final predicted value of the road section vehicle speed, analyze and obtain the final predicted value of the road section vehicle speed corresponding to the predicted value of the road section vehicle interval distance and the actual interval time period for vehicles leaving the road section.

[0110] The final predicted value of the road section speed refers to the final predicted value of the speed of the vehicle that exits the current road section later than the two adjacent vehicles that exit the current road section. The final predicted value of the road section speed is obtained by querying a database storing the final predicted values ​​of the road section speed.

[0111] The final predicted value of the road section speed is obtained by analyzing the predicted value of the vehicle interval distance on the road section and the actual interval time period between vehicles leaving the road section, thereby obtaining the predicted speed of vehicles traveling on the current road section, which is convenient for the subsequent use of the final predicted value of the road section speed.

[0112] Step S540, according to the final predicted value of the road section vehicle speed and the preset normal vehicle speed reference value of the road section, the difference between the final predicted value of the road section vehicle speed and the preset normal vehicle speed reference value of the road section is analyzed and calculated and used as the road section vehicle speed difference.

[0113] The normal speed reference value of a road section refers to the minimum speed required for a vehicle to travel through each intersection in the current road section when the traffic lights change from red to green. The normal speed reference value of the road section is obtained by querying a database storing the normal speed reference values ​​of the road section.

[0114] The road section speed difference refers to the difference between the final predicted speed of the vehicle when traveling in the current road section and the minimum speed required for the vehicle to travel through the traffic lights at each intersection in the current road section when the red light turns green.

[0115] The final predicted value of the section vehicle speed and the preset normal section vehicle speed benchmark value are used to analyze and calculate the difference between the final predicted value of the section vehicle speed and the preset normal section vehicle speed benchmark value, and the difference between the final predicted value of the section vehicle speed and the preset normal section vehicle speed benchmark value is used as the section vehicle speed difference, thereby facilitating the subsequent use of the section vehicle speed difference.

[0116] Step S550, according to the correspondence between the road section vehicle speed difference and the preset excess green wave signal control scheme, analyzing and obtaining the excess green wave signal control scheme corresponding to the road section vehicle speed difference.

[0117] Among them, the excess green wave signal control scheme is obtained by analyzing the speed difference of the road section, so that the obtained excess green wave signal control scheme is adjusted according to the difference between the final predicted speed of the vehicle when traveling in the current road section and the minimum speed required for the vehicle to turn from a red light to a green light at each intersection when traveling in the current road section, thereby improving the accuracy of the obtained excess green wave signal control scheme and reducing the probability of traffic congestion when the vehicle volume in the traffic line increases.

[0118] exist Figure 2 In step S520, in order to further ensure the rationality of the predicted value of the road section vehicle interval distance, it is necessary to further analyze and calculate the predicted value of the road section vehicle interval distance, specifically by Figure 3 The steps shown are explained in detail.

[0119] Reference Figure 3 According to the corresponding relationship between the number of excess vehicles on a road section, the number of lanes on a road section, the length of a road section and the preset predicted value of the vehicle interval distance on the road section, analyzing and obtaining the predicted value of the vehicle interval distance on the road section corresponding to the number of excess vehicles on the road section, the number of lanes on the road section and the length of the road section includes the following steps:

[0120] Step S521, according to the correspondence between the number of excess vehicles on the road section, the road section length value and the preset single-lane vehicle interval distance prediction value, analyze and obtain the single-lane vehicle interval distance prediction value corresponding to the number of excess vehicles on the road section and the road section length value.

[0121] The single-lane vehicle interval distance prediction value refers to the prediction value of the distance between two adjacent vehicles when exiting the current road section with only one lane. The single-lane vehicle interval distance prediction value is obtained by querying from a database storing the single-lane vehicle interval distance prediction values.

[0122] The single-lane vehicle interval distance prediction value is obtained by analyzing the number of excess vehicles on the road section and the road section length value, so as to facilitate the subsequent use of the single-lane vehicle interval distance prediction value.

[0123] Step S522, determine whether the number of lanes in the road section is greater than one. If yes, execute step S523; if no, execute step S525.

[0124] Among them, by judging whether the number of lanes in the road section is greater than one, it is judged whether the single-lane vehicle interval distance prediction value obtained at this time is accurate.

[0125] Step S523, according to the correspondence between the number of lanes on the road section and the preset multi-lane vehicle interval distance influence value, the multi-lane vehicle interval distance influence value corresponding to the number of lanes on the road section is analyzed and obtained.

[0126] The multi-lane vehicle spacing distance impact value refers to the impact value on the distance between two adjacent vehicles exiting the current road section when there are multiple lanes in the current road section. The multi-lane vehicle spacing distance impact value is obtained by querying from a database storing the multi-lane vehicle spacing distance impact values.

[0127] When the number of lanes on a road section is greater than one, it indicates that the single-lane vehicle interval distance prediction value obtained at this time is inaccurate. Therefore, the multi-lane vehicle interval distance impact value is obtained by analyzing the number of lanes on the road section, so as to facilitate the subsequent use of the multi-lane vehicle interval distance impact value.

[0128] Step S524, based on the correspondence between the multi-lane vehicle interval distance influence value, the single-lane vehicle interval distance prediction value and the preset multi-lane vehicle interval distance prediction value, analyze and obtain the multi-lane vehicle interval distance prediction value corresponding to the multi-lane vehicle interval distance influence value and the single-lane vehicle interval distance prediction value, and use the multi-lane vehicle interval distance prediction value as the road section vehicle interval distance prediction value.

[0129] The multi-lane vehicle interval distance prediction value refers to the prediction value of the distance between two vehicles when they exit the current road section of multiple lanes. The multi-lane vehicle interval distance prediction value is obtained by querying from a database storing the multi-lane vehicle interval distance prediction values.

[0130] The multi-lane vehicle interval distance prediction value is obtained by analyzing the multi-lane vehicle interval distance influence value and the single-lane vehicle interval distance prediction value, and the multi-lane vehicle interval distance prediction value is used as the road section vehicle interval distance prediction value, thereby improving the accuracy of the obtained road section vehicle interval distance prediction value, and ultimately achieving the purpose of reducing the probability of traffic congestion problems when the vehicle volume in the traffic line increases.

[0131] Step S525, using the single-lane vehicle interval distance prediction value as the road section vehicle interval distance prediction value.

[0132] Among them, when the number of lanes in a road section is not greater than one, it means that the single-lane vehicle interval distance prediction value obtained at this time is accurate. Therefore, the single-lane vehicle interval distance prediction value is used as the road section vehicle interval distance prediction value, thereby improving the accuracy of the obtained road section vehicle interval distance prediction value, and ultimately achieving the purpose of reducing the probability of traffic congestion problems occurring when the vehicle volume traveling on the traffic line increases.

[0133] exist Figure 2In step S530, in order to further ensure the rationality of the final predicted value of the road section speed, it is necessary to further analyze and calculate the final predicted value of the road section speed. Figure 4 The steps shown are explained in detail.

[0134] Reference Figure 4 According to the correspondence between the predicted value of the road section vehicle interval distance, the actual interval time period of the road section vehicles leaving, and the preset final predicted value of the road section vehicle speed, analyzing and obtaining the final predicted value of the road section vehicle speed corresponding to the predicted value of the road section vehicle interval distance and the actual interval time period of the road section vehicles leaving includes the following steps:

[0135] Step S531, according to the correspondence between the predicted value of the distance between vehicles on the road section, the actual interval time period between vehicles leaving the road section and the preset initial predicted value of the speed of the road section, the initial predicted value of the speed of the road section corresponding to the predicted value of the distance between vehicles on the road section and the actual interval time period between vehicles leaving the road section is analyzed and obtained.

[0136] The initial predicted value of the road section speed refers to the initial predicted value of the speed of the vehicle that exits the current road section later than two adjacent vehicles that exit the current road section. The initial predicted value of the road section speed is obtained by querying a database storing the initial predicted values ​​of the road section speed.

[0137] The initial prediction value of the road section vehicle speed is obtained by analyzing the predicted value of the vehicle interval distance on the road section and the actual interval time period between vehicles leaving the road section, so as to facilitate the subsequent use of the initial prediction value of the road section vehicle speed.

[0138] Step S532, obtaining the vehicle type information of the current road section.

[0139] The road section vehicle type information refers to the vehicle type of the vehicle traveling on the current road section, and the road section vehicle type information is obtained by analyzing and detecting the vehicle using an image detection device preset on both sides of the road of the current road section. The image detection device can be a camera or a video recorder, and the road section vehicle type information is obtained by analyzing the vehicle image information obtained from the image detection device according to the vehicle type characteristics.

[0140] Step S533, determining whether the road section vehicle type information includes the preset safety guarantee vehicle type information. If yes, executing step S534; if no, executing step S536.

[0141] The safety assurance vehicle type information refers to information about vehicle types that require safety assurance, and the safety assurance vehicle type information is obtained by querying from a database storing the safety assurance vehicle type information.

[0142] By judging whether the vehicle type information of the road section includes the preset safety guarantee vehicle type information, it is judged whether the vehicle type of the vehicles traveling on the current road section includes the vehicle type that needs safety guarantee.

[0143] Step S534, according to the correspondence between the safety guarantee vehicle type information and the preset safety guarantee vehicle speed influence value, the safety guarantee vehicle speed influence value corresponding to the safety guarantee vehicle type information is analyzed and obtained.

[0144] The safety assurance vehicle speed impact value refers to the impact value of the vehicle that needs safety assurance on the vehicle speed, and the safety assurance vehicle speed impact value is obtained by querying from a database storing the safety assurance vehicle speed impact value.

[0145] When the vehicle type information of a road section includes preset safety assurance vehicle type information, it means that the vehicle types traveling on the current road section at this time include vehicles of the type that needs safety assurance. Therefore, the safety assurance vehicle speed impact value is obtained by analyzing the safety assurance vehicle type information, thereby facilitating the subsequent use of the safety assurance vehicle speed impact value.

[0146] The information on safety assurance vehicle types includes information on safety assurance manned vehicle types and information on safety assurance non-manned vehicle types. The information on safety assurance manned vehicle types includes passenger cars, ambulances and other vehicles, and the information on safety assurance non-manned vehicle types includes cleaning vehicles, trucks and hazardous materials transport vehicles.

[0147] When the safety assurance vehicle type information is only the safety assurance manned vehicle type information, based on the correspondence between the safety assurance manned vehicle type information and the preset safety assurance manned vehicle speed influence value, the safety assurance manned vehicle speed influence value corresponding to the safety assurance manned vehicle type information is analyzed and obtained, and the safety assurance manned vehicle speed influence value is used as the safety assurance vehicle speed influence value.

[0148] When the safety guarantee vehicle type information is only the safety guarantee non-passenger vehicle type information, according to the correspondence between the safety guarantee non-passenger vehicle type information and the preset safety guarantee non-passenger vehicle speed influence value, the safety guarantee non-passenger vehicle speed influence value corresponding to the safety guarantee non-passenger vehicle type information is analyzed and obtained, and the safety guarantee non-passenger vehicle speed influence value is used as the safety guarantee speed influence value.

[0149] When the safety guarantee vehicle type information is the safety guarantee manned vehicle type information and the safety guarantee non-manned vehicle type information, according to the correspondence between the safety guarantee manned vehicle speed impact value, the safety guarantee non-manned vehicle speed impact value and the preset safety guarantee total vehicle speed impact value, the safety guarantee total vehicle speed impact value corresponding to the safety guarantee manned vehicle speed impact value and the safety guarantee non-manned vehicle speed impact value is analyzed and obtained, and the safety guarantee total vehicle speed impact value is used as the safety guarantee vehicle speed impact value. By classifying and analyzing one or more of the safety guarantee manned vehicle type information and the safety guarantee non-manned vehicle type information in the safety guarantee vehicle type information, the accuracy of the obtained safety guarantee vehicle speed impact value is improved.

[0150] Step S535, according to the correspondence between the safety assurance speed impact value, the initial prediction value of the section speed and the preset section speed vehicle type impact prediction value, analyze and obtain the section speed vehicle type impact prediction value corresponding to the safety assurance speed impact value and the initial prediction value of the section speed, and use the section speed vehicle type impact prediction value as the final prediction value of the section speed.

[0151] Among them, the predicted value of the impact of road section speed and vehicle model refers to the predicted value of the speed of the vehicle that exits the current section later among the two adjacent vehicles after being affected by the need for safety assurance. The predicted value of the impact of road section speed and vehicle model is obtained by querying the database storing the predicted values ​​of the impact of road section speed and vehicle model.

[0152] By analyzing the safety assurance speed impact value and the initial prediction value of the section speed, the vehicle model impact prediction value of the section speed is obtained, and the vehicle model impact prediction value of the section speed is used as the final prediction value of the section speed, thereby improving the accuracy of the obtained final prediction value of the section speed, and ultimately achieving the purpose of reducing the probability of traffic congestion problems when the vehicle volume on the traffic route increases.

[0153] Step S536, taking the initial predicted value of the road section vehicle speed as the final predicted value of the road section vehicle speed.

[0154] Among them, when the vehicle type information of the road section does not include the preset safety guarantee vehicle type information, it means that the vehicle type types of vehicles traveling on the current road section at this time do not include vehicles of the type that needs to be ensured for safety. Therefore, the initial predicted value of the road section speed is used as the final predicted value of the road section speed, thereby improving the accuracy of the obtained final predicted value of the road section speed, and ultimately achieving the purpose of reducing the probability of traffic congestion problems occurring when the vehicle volume traveling on the traffic route increases.

[0155] exist Figure 4 In step S531, in order to further ensure the rationality of the initial predicted value of the road section speed, it is necessary to further analyze and calculate the initial predicted value of the road section speed. Figure 5The steps shown are explained in detail.

[0156] Reference Figure 5 According to the correspondence between the predicted value of the road section vehicle interval distance, the actual interval time period of the road section vehicles leaving, and the preset initial predicted value of the road section vehicle speed, analyzing and obtaining the initial predicted value of the road section vehicle speed corresponding to the predicted value of the road section vehicle interval distance and the actual interval time period of the road section vehicles leaving includes the following steps:

[0157] Step S5311, when the predicted value of the vehicle interval distance of a road section is the predicted value of the vehicle interval distance of a single lane, according to the correspondence between the predicted value of the vehicle interval distance of a single lane, the actual interval time period for vehicles leaving the road section and the preset initial predicted value of the single lane speed, the initial predicted value of the single lane speed corresponding to the predicted value of the vehicle interval distance of a single lane and the actual interval time period for vehicles leaving the road section is analyzed and obtained, and the initial predicted value of the single lane speed is used as the initial predicted value of the vehicle speed of the road section.

[0158] The initial prediction value of the single-lane vehicle speed refers to the initial prediction value of the speed of the vehicle that exits the current road section with only one lane adjacent to each other. The initial prediction value of the single-lane vehicle speed is obtained by querying a database storing the initial prediction value of the single-lane vehicle speed.

[0159] When the predicted value of the vehicle interval distance on a road section is the predicted value of the vehicle interval distance on a single lane, the initial predicted value of the single lane speed is obtained by analyzing the predicted value of the vehicle interval distance on the single lane and the actual interval time period of the vehicles leaving the road section, and the initial predicted value of the single lane speed is used as the initial predicted value of the road section speed, thereby improving the accuracy of the obtained initial predicted value of the road section speed, and ultimately achieving the purpose of reducing the probability of traffic congestion problems occurring when the vehicle volume on the traffic line increases.

[0160] Step S5312, when the predicted value of the vehicle interval distance on a road section is the predicted value of the vehicle interval distance on multiple lanes, based on the correspondence between the predicted value of the vehicle interval distance on multiple lanes, the actual interval time period for vehicles leaving the road section and the preset initial predicted value of the multi-lane vehicle speed, analyze and obtain the initial predicted value of the multi-lane vehicle speed corresponding to the predicted value of the vehicle interval distance on multiple lanes and the actual interval time period for vehicles leaving the road section.

[0161] Among them, the initial prediction value of the multi-lane vehicle speed refers to the initial prediction value of the speed of the later vehicle out of the current road section with multiple lanes that is adjacent to each other, and the initial prediction value of the multi-lane vehicle speed is obtained by querying a database storing the initial prediction values ​​of the multi-lane vehicle speed.

[0162] The initial prediction value of the multi-lane vehicle speed is obtained by analyzing the predicted value of the multi-lane vehicle interval distance and the actual interval time period of the vehicle leaving the road section, so as to facilitate the subsequent use of the initial prediction value of the multi-lane vehicle speed.

[0163] Step S5313, determine whether the multi-lane vehicle interval distance prediction value is greater than the preset multi-lane vehicle interval distance reference value. If not, execute step S5314; if yes, execute step S5315.

[0164] Among them, the multi-lane vehicle interval distance benchmark value refers to the maximum distance value between two adjacent vehicles that cannot overtake when exiting the current road section with multiple lanes. The multi-lane vehicle interval distance benchmark value is obtained by querying a database storing the multi-lane vehicle interval distance benchmark values.

[0165] By judging whether the predicted value of the multi-lane vehicle interval distance is greater than a preset multi-lane vehicle interval distance reference value, it is possible to judge whether the predicted value of the distance between two adjacent vehicles when exiting a current road section with multiple lanes is greater than the maximum distance value at which overtaking cannot be performed between two adjacent vehicles when exiting a current road section with multiple lanes.

[0166] Step S5314: Use the initial predicted value of the multi-lane vehicle speed as the initial predicted value of the road section vehicle speed.

[0167] Among them, when the predicted value of the multi-lane vehicle interval distance is not greater than the preset multi-lane vehicle interval distance reference value, it means that the predicted value of the distance between the two adjacent vehicles when they exit the current road section with multiple lanes is not greater than the maximum distance value between the two adjacent vehicles that cannot overtake when they exit the current road section with multiple lanes, which further indicates that there is no vehicle overtaking at this time, so the initial predicted value of the multi-lane vehicle speed is used as the initial predicted value of the section vehicle speed.

[0168] Step S5315, based on the judgment result of whether the initial predicted value of the multi-lane vehicle speed is greater than the preset road section overtaking speed reference value, the multi-lane vehicle overtaking influence value is analyzed and obtained.

[0169] The road section overtaking speed reference value refers to the minimum speed required for a vehicle to overtake in the current road section, and the road section overtaking speed reference value is obtained by querying a database storing the road section overtaking speed reference values.

[0170] The overtaking impact value of a multi-lane vehicle refers to the impact value on the vehicle speed prediction value after the vehicle overtakes in the current road section with multiple lanes.

[0171] When the predicted value of the multi-lane vehicle interval distance is greater than the preset multi-lane vehicle interval distance reference value, it means that the predicted value of the distance between the two adjacent vehicles when exiting the current section with multiple lanes is greater than the maximum distance value between the two adjacent vehicles that cannot overtake when exiting the current section with multiple lanes, which further indicates that there is a vehicle overtaking at this time. Therefore, the overtaking impact value of the multi-lane vehicle is analyzed and obtained by judging whether the initial predicted value of the multi-lane vehicle speed is greater than the preset section overtaking speed reference value, so as to facilitate the subsequent use of the overtaking impact value of the multi-lane vehicle.

[0172] Step S5316, based on the correspondence between the multi-lane vehicle speed initial prediction value, the multi-lane vehicle overtaking influence value and the preset multi-lane vehicle speed overtaking prediction value, analyze and obtain the multi-lane vehicle speed overtaking prediction value corresponding to the multi-lane vehicle speed initial prediction value and the multi-lane vehicle overtaking influence value, and use the multi-lane vehicle speed overtaking prediction value as the initial prediction value of the road section vehicle speed.

[0173] The multi-lane vehicle speed overtaking prediction value refers to the initial prediction value of the vehicle speed of the latter vehicle among two adjacent vehicles exiting the current road section with multiple lanes after being affected by speeding. The multi-lane vehicle speed overtaking prediction value is obtained by querying from a database storing the multi-lane vehicle speed overtaking prediction values.

[0174] The multi-lane vehicle speed overtaking prediction value is obtained by analyzing the multi-lane vehicle speed initial prediction value and the multi-lane vehicle overtaking influence value, and the multi-lane vehicle speed overtaking prediction value is used as the section vehicle speed initial prediction value, thereby improving the accuracy of the obtained section vehicle speed initial prediction value, and ultimately achieving the purpose of reducing the probability of traffic congestion problems when the vehicle volume traveling on the traffic line increases.

[0175] exist Figure 5 In step S5315, in order to further ensure the rationality of the multi-lane vehicle overtaking impact value, it is necessary to further analyze and calculate the multi-lane vehicle overtaking impact value separately, specifically by Figure 6 The steps shown are explained in detail.

[0176] Reference Figure 6 According to the judgment result of whether the initial prediction value of the multi-lane vehicle speed is greater than the preset road section overtaking vehicle speed reference value, the analysis and acquisition of the multi-lane vehicle overtaking influence value includes the following steps:

[0177] Step S53151, determine whether the initial predicted value of the multi-lane vehicle speed is greater than the preset road section overtaking vehicle speed reference value. If yes, execute step S53152; if no, execute step S53154.

[0178] Among them, by judging whether the initial predicted value of the multi-lane vehicle speed is greater than the preset section overtaking speed reference value, it is judged whether the initial predicted value of the speed of the latter vehicle out of the current section with multiple lanes is greater than the minimum speed required for the vehicle to overtake in the current section.

[0179] Step S53152, based on the initial predicted value of the multi-lane vehicle speed and the reference value of the road section overtaking speed, analyze and calculate the difference between the initial predicted value of the multi-lane vehicle speed and the reference value of the road section overtaking speed and use it as the road section overtaking speed difference.

[0180] Among them, when the initial predicted value of the multi-lane vehicle speed is greater than the preset section overtaking speed reference value, it means that the initial predicted value of the speed of the latter vehicle out of the current section with multiple lanes at this time is greater than the minimum speed required for the vehicle to overtake in the current section, which further indicates that the vehicle has overtaken at this time. Therefore, the difference between the initial predicted value of the multi-lane vehicle speed and the section overtaking speed reference value is analyzed and calculated through the initial predicted value of the multi-lane vehicle speed and the section overtaking speed reference value, and the difference between the initial predicted value of the multi-lane vehicle speed and the section overtaking speed reference value is used as the section overtaking speed difference, so as to facilitate the subsequent use of the section overtaking speed difference.

[0181] Step S53153, according to the correspondence between the road section overtaking speed difference and the preset road section overtaking influence value, analyze and obtain the road section overtaking influence value corresponding to the road section overtaking speed difference, and use the road section overtaking influence value as the multi-lane vehicle overtaking influence value.

[0182] The road section overtaking impact value refers to the impact value on the predicted vehicle speed after a vehicle traveling on the current road section overtakes another vehicle. The road section overtaking impact value is obtained by querying a database storing the road section overtaking impact values.

[0183] The overtaking impact value of the road section is obtained by analyzing the speed difference of overtaking vehicles on the road section, and the overtaking impact value of the road section is used as the overtaking impact value of multi-lane vehicles, thereby improving the accuracy of the obtained overtaking impact value of multi-lane vehicles, and ultimately achieving the purpose of reducing the probability of traffic congestion when the vehicle volume on the traffic line increases.

[0184] Step S53154, outputting the preset road section non-overtaking impact value, and using the road section non-overtaking impact value as the multi-lane vehicle overtaking impact value.

[0185] Among them, the impact value of not overtaking on the road section is the impact value of the predicted vehicle speed after the vehicle traveling in the current road section has not overtaken. When the initial predicted value of the multi-lane vehicle speed is not greater than the preset section overtaking speed reference value, it means that the initial predicted value of the speed of the latter vehicle out of the current road section with multiple lanes at this time is not greater than the minimum speed required for the vehicle to overtake in the current road section, which further indicates that the vehicle has not overtaken at this time. Therefore, the preset impact value of not overtaking on the road section is output, and the impact value of not overtaking on the road section is used as the overtaking impact value of the multi-lane vehicle, thereby improving the accuracy of the acquired overtaking impact value of the multi-lane vehicle, and ultimately achieving the purpose of reducing the probability of traffic congestion when the vehicle volume traveling in the traffic route increases.

[0186] exist Figure 2 In step S550, in order to further ensure the rationality of the excess green wave signal control scheme, it is necessary to further analyze and calculate the excess green wave signal control scheme. Figure 7 The steps shown are explained in detail.

[0187] Reference Figure 7 According to the corresponding relationship between the road section vehicle speed difference and the preset excess green wave signal control scheme, analyzing and obtaining the excess green wave signal control scheme corresponding to the road section vehicle speed difference includes the following steps:

[0188] Step S551 , according to the correspondence between the road section vehicle speed difference and the preset green wave speed adjustment value, the green wave speed adjustment value corresponding to the road section vehicle speed difference is analyzed and obtained.

[0189] The green wave speed adjustment value refers to an adjustment value when the green wave speed is adjusted, and the green wave speed adjustment value is obtained by querying from a database storing the green wave speed adjustment value.

[0190] The green wave speed adjustment value is obtained by analyzing the speed difference of the road section, so as to facilitate the subsequent use of the green wave speed adjustment value.

[0191] Step S552: According to the green wave speed adjustment value and the preset green wave speed reference value, the sum of the green wave speed adjustment value and the preset green wave speed reference value is analyzed and calculated and used as the final green wave speed value.

[0192] Among them, the green wave speed reference value refers to the speed value of the green wave signal output when the green wave signal is controlled when the number of vehicles actually traveling on the current road section does not exceed the total reference number of vehicles on the road section. The green wave speed reference value is obtained by querying the database storing the green wave speed reference value.

[0193] Through the green wave speed adjustment value and the preset green wave speed reference value, the sum of the green wave speed adjustment value and the preset green wave speed reference value is analyzed and calculated, and the sum of the green wave speed adjustment value and the preset green wave speed reference value is used as the green wave speed final value, so as to facilitate the subsequent use of the green wave speed final value.

[0194] Step S553: ​​according to the correspondence between the final value of the green wave speed and the preset excess green wave signal control scheme, an excess green wave signal control scheme corresponding to the final value of the green wave speed is analyzed and obtained.

[0195] Among them, the excess green wave signal control plan is obtained by analyzing the final value of the green wave speed, thereby improving the accuracy of the obtained excess green wave signal control plan, thereby reducing the probability of traffic congestion problems occurring when the vehicle volume traveling on the traffic line increases.

[0196] Reference Figure 8 Based on the same inventive concept, an embodiment of the present invention provides a dynamic green wave signal control system, including:

[0197] Acquisition module 1, used to obtain the actual total number of vehicles on the road section, the number of lanes on the road section, the length of the road section, the actual interval time period for vehicles leaving the road section, and the type of vehicle on the road section;

[0198] Memory 2, used to store Figures 1 to 7 A program of a dynamic green wave signal control method according to any one of the above;

[0199] Processor 3, the program in the memory can be loaded and executed by the processor and realize the following Figures 1 to 7 A dynamic green wave signal control method according to any one of the preceding claims.

[0200] Based on the same inventive concept, an embodiment of the present invention provides a dynamic green wave signal control device, including a memory and a processor, the memory stores a program that can be loaded and executed by the processor. Figures 1 to 7 A computer program for a dynamic green wave signal control method according to any one of the preceding claims.

[0201] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0202] An embodiment of the present invention provides a computer storage medium storing a computer program that can be loaded and executed by a processor. Figures 1 to 7A computer program for a dynamic green wave signal control method according to any one of the preceding claims.

[0203] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0204] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A dynamic green wave signal control method, characterized in that: include: Get the actual total number of vehicles and lanes on the current road section; According to the corresponding relationship between the number of lanes of the road section and the preset total number of benchmark vehicles of the road section, the total number of benchmark vehicles of the road section corresponding to the number of lanes of the road section is analyzed and obtained; Determine whether the actual total number of vehicles on the road section is greater than the benchmark total number of vehicles on the road section; If yes, then according to the actual total number of vehicles on the road section and the benchmark total number of vehicles on the road section, the difference between the actual total number of vehicles on the road section and the benchmark total number of vehicles on the road section is analyzed and calculated and used as the number of excess vehicles on the road section; According to the correspondence between the number of excess vehicles on the road section and the preset excess green wave signal control scheme, the excess green wave signal control scheme corresponding to the number of excess vehicles on the road section is analyzed and obtained, and the excess green wave signal control scheme is executed; If not, the preset conventional green wave signal control scheme is executed; According to the corresponding relationship between the number of excess vehicles on the road section and the preset excess green wave signal control scheme, the excess green wave signal control scheme corresponding to the number of excess vehicles on the road section is analyzed and obtained, including: Obtain the section length value of the current section and the actual interval time period for vehicles leaving the section, wherein the actual interval time period for vehicles leaving the section refers to the interval time between two adjacent vehicles leaving the current section; According to the corresponding relationship between the number of excess vehicles on the road section, the number of lanes on the road section, the length of the road section and the preset vehicle interval distance prediction value of the road section, the predicted value of the vehicle interval distance on the road section corresponding to the number of excess vehicles on the road section, the number of lanes on the road section and the length of the road section is analyzed and obtained; According to the correspondence between the predicted value of the interval distance between vehicles on the road section, the actual interval time period between vehicles leaving the road section and the preset final predicted value of the vehicle speed on the road section, the final predicted value of the vehicle speed on the road section corresponding to the predicted value of the interval distance between vehicles on the road section and the actual interval time period between vehicles leaving the road section is analyzed and obtained; According to the final predicted value of the road section vehicle speed and the preset reference value of the conventional vehicle speed of the road section, the difference between the final predicted value of the road section vehicle speed and the preset reference value of the conventional vehicle speed of the road section is analyzed and calculated and used as the road section vehicle speed difference; According to the corresponding relationship between the road section vehicle speed difference and the preset excess green wave signal control scheme, the excess green wave signal control scheme corresponding to the road section vehicle speed difference is analyzed and obtained; According to the corresponding relationship between the number of excess vehicles on a road section, the number of lanes on a road section, the length of a road section and the preset predicted value of the vehicle interval distance on the road section, the predicted value of the vehicle interval distance on the road section corresponding to the number of excess vehicles on the road section, the number of lanes on the road section and the length of the road section is analyzed and obtained, including: According to the corresponding relationship between the number of excess vehicles on the road section, the length of the road section and the preset single-lane vehicle interval distance prediction value, the single-lane vehicle interval distance prediction value corresponding to the number of excess vehicles on the road section and the length of the road section is analyzed and obtained; Determine whether the number of lanes in the road section is greater than one; If yes, then according to the correspondence between the number of lanes in the road section and the preset multi-lane vehicle interval distance influence value, the multi-lane vehicle interval distance influence value corresponding to the number of lanes in the road section is analyzed and obtained, wherein the multi-lane vehicle interval distance influence value refers to the influence value on the distance between two adjacent vehicles exiting the current road section when there are multiple lanes in the current road section; According to the corresponding relationship between the multi-lane vehicle interval distance influence value, the single-lane vehicle interval distance prediction value and the preset multi-lane vehicle interval distance prediction value, the multi-lane vehicle interval distance prediction value corresponding to the multi-lane vehicle interval distance influence value and the single-lane vehicle interval distance prediction value is analyzed and obtained, and the multi-lane vehicle interval distance prediction value is used as the road section vehicle interval distance prediction value; If not, the predicted value of the vehicle spacing distance on a single lane is used as the predicted value of the vehicle spacing distance on the road section; According to the correspondence between the predicted value of the road section vehicle interval distance, the actual interval time period of the road section vehicles leaving, and the preset final predicted value of the road section vehicle speed, the final predicted value of the road section vehicle speed corresponding to the predicted value of the road section vehicle interval distance and the actual interval time period of the road section vehicles leaving includes: According to the correspondence between the predicted value of the interval between vehicles on the road section, the actual interval time period between vehicles leaving the road section and the preset initial predicted value of the vehicle speed on the road section, the initial predicted value of the vehicle speed on the road section corresponding to the predicted value of the interval between vehicles on the road section and the actual interval time period between vehicles leaving the road section is analyzed and obtained; Get the vehicle type information of the current road section; Determine whether the road section vehicle type information includes preset safety guarantee vehicle type information; If yes, then according to the correspondence between the safety guarantee vehicle type information and the preset safety guarantee vehicle speed influence value, the safety guarantee vehicle speed influence value corresponding to the safety guarantee vehicle type information is analyzed and obtained, wherein the safety guarantee vehicle speed influence value refers to the influence value of the vehicle that needs safety guarantee on the vehicle speed; According to the corresponding relationship between the safety guarantee speed impact value, the initial prediction value of the section speed and the preset section speed vehicle type impact prediction value, the section speed vehicle type impact prediction value corresponding to the safety guarantee speed impact value and the initial prediction value of the section speed is analyzed and obtained, and the section speed vehicle type impact prediction value is used as the final prediction value of the section speed; If not, the initial predicted value of the road section speed is used as the final predicted value of the road section speed.

2. A dynamic green wave signal control method according to claim 1, characterized in that: According to the correspondence between the predicted value of the distance between vehicles on the road section, the actual interval time period between vehicles leaving the road section and the preset initial predicted value of the vehicle speed on the road section, the initial predicted value of the vehicle speed on the road section corresponding to the predicted value of the distance between vehicles on the road section and the actual interval time period between vehicles leaving the road section is obtained by analyzing: When the predicted value of the vehicle interval distance of the road section is the predicted value of the vehicle interval distance of a single lane, according to the corresponding relationship between the predicted value of the vehicle interval distance of the single lane, the actual interval time period of vehicles leaving the road section and the preset initial predicted value of the vehicle speed of the single lane, the initial predicted value of the vehicle speed of the single lane corresponding to the predicted value of the vehicle interval distance of the single lane and the actual interval time period of vehicles leaving the road section is analyzed and obtained, and the initial predicted value of the vehicle speed of the single lane is used as the initial predicted value of the vehicle speed of the road section; When the predicted value of the interval distance between vehicles on a road section is the predicted value of the interval distance between vehicles on multiple lanes, according to the corresponding relationship between the predicted value of the interval distance between vehicles on multiple lanes, the actual interval time period between vehicles leaving the road section and the preset initial predicted value of the multi-lane vehicle speed, the initial predicted value of the multi-lane vehicle speed corresponding to the predicted value of the interval distance between vehicles on multiple lanes and the actual interval time period between vehicles leaving the road section is analyzed and obtained; Determine whether the predicted value of the multi-lane vehicle interval distance is greater than a preset multi-lane vehicle interval distance reference value; If not, the initial predicted value of the multi-lane vehicle speed is used as the initial predicted value of the road section vehicle speed; If yes, then according to the judgment result of whether the initial predicted value of the multi-lane vehicle speed is greater than the preset road section overtaking speed reference value, the multi-lane vehicle overtaking influence value is analyzed and obtained, wherein the multi-lane vehicle overtaking influence value refers to the influence value on the vehicle speed prediction value after the vehicle overtakes in the current road section with multiple lanes; According to the correspondence between the multi-lane vehicle speed initial prediction value, the multi-lane vehicle overtaking influence value and the preset multi-lane vehicle speed overtaking prediction value, the multi-lane vehicle speed overtaking prediction value corresponding to the multi-lane vehicle speed initial prediction value and the multi-lane vehicle overtaking influence value is analyzed and obtained, and the multi-lane vehicle speed overtaking prediction value is used as the initial prediction value of the road section vehicle speed.

3. A dynamic green wave signal control method according to claim 2, characterized in that: According to the judgment result of whether the initial predicted value of the multi-lane vehicle speed is greater than the preset road section overtaking speed reference value, the multi-lane vehicle overtaking impact value is analyzed and obtained, including: Determine whether the initial predicted value of the multi-lane vehicle speed is greater than a preset road section overtaking vehicle speed reference value; If yes, then according to the initial predicted value of the multi-lane vehicle speed and the reference value of the overtaking vehicle speed on the road section, the difference between the initial predicted value of the multi-lane vehicle speed and the reference value of the overtaking vehicle speed on the road section is analyzed and calculated and used as the overtaking vehicle speed difference on the road section; According to the corresponding relationship between the speed difference of overtaking vehicles on the road section and the preset overtaking influence value of the road section, the overtaking influence value of the road section corresponding to the speed difference of overtaking vehicles on the road section is analyzed and obtained, and the overtaking influence value of the road section is used as the overtaking influence value of multi-lane vehicles; If not, the preset road section non-overtaking impact value is output, and the road section non-overtaking impact value is used as the multi-lane vehicle overtaking impact value.

4. A dynamic green wave signal control method according to claim 1, characterized in that: According to the corresponding relationship between the road section vehicle speed difference and the preset excess green wave signal control scheme, the excess green wave signal control scheme corresponding to the road section vehicle speed difference is analyzed and obtained, including: According to the correspondence between the road section vehicle speed difference and the preset green wave speed adjustment value, the green wave speed adjustment value corresponding to the road section vehicle speed difference is analyzed and obtained; According to the green wave speed adjustment value and the preset green wave speed reference value, the sum of the green wave speed adjustment value and the preset green wave speed reference value is analyzed and calculated and used as the final green wave speed value; According to the corresponding relationship between the final value of the green wave speed and the preset excess green wave signal control scheme, the excess green wave signal control scheme corresponding to the final value of the green wave speed is analyzed and obtained.

5. A dynamic green wave signal control system, characterized in that: include: The acquisition module (1) is used to obtain the actual total number of vehicles on the road section, the number of lanes on the road section, the length of the road section, the actual interval time period for vehicles leaving the road section, and the type of vehicle on the road section; A memory (2) for storing a program of a dynamic green wave signal control method according to any one of claims 1 to 4; A processor (3), wherein the program in the memory can be loaded and executed by the processor to implement a dynamic green wave signal control method as claimed in any one of claims 1 to 4.

6. A dynamic green wave signal control device, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and executes a dynamic green wave signal control method according to any one of claims 1 to 4.

7. A computer storage medium, characterized in that: A computer program is stored which can be loaded by a processor and executes a dynamic green wave signal control method according to any one of claims 1 to 4.

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