CN115762195A

CN115762195A - Dynamic green wave signal control method, system, device and storage medium

Info

Publication number: CN115762195A
Application number: CN202211398606.6A
Authority: CN
Inventors: 许菲菲; 范新科; 王韩麒; 周晓刚; 牛鑫
Original assignee: Ningbo Ninggong Traffic Engineering Design Consulting Co ltd
Current assignee: Ningbo Ninggong Traffic Engineering Design Consulting Co ltd
Priority date: 2022-11-09
Filing date: 2022-11-09
Publication date: 2023-03-07

Abstract

The application relates to a dynamic green wave signal control method, a system, a device and a storage medium, which relate to the technical field of traffic signal mode control, and the method comprises the following steps: acquiring the actual total number of vehicles on the road section of the current road section and the number of lanes on the road section; analyzing and acquiring the road section reference total vehicle number corresponding to the road section lane number according to the corresponding relation between the road section lane number and the road section reference total vehicle number; judging 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 so, analyzing and calculating the difference value between the actual total number of the vehicles on the road section and the reference total number of the vehicles on the road section and taking the difference value as the number of the excess vehicles on the road section; analyzing and acquiring an excess green wave signal control scheme corresponding to the number of excess vehicles on the road section according to the corresponding relation between the number of excess vehicles on the road section and the excess green wave signal control scheme, and executing the excess green wave signal control scheme; if not, executing a conventional green wave signal control scheme. The traffic jam detection method and device have the effect of reducing the probability of traffic jam problems under the condition that the traffic flow running in the traffic route is increased.

Description

Dynamic green wave signal control method, system, device and storage medium

Technical Field

The present application relates to the field of traffic signal mode control technologies, and in particular, to a method, a system, an apparatus, and a storage medium for controlling a dynamic green wave signal.

Background

With the development of society and economy, the number of vehicles in cities is increasing day by day, and in order to make the traffic jam condition difficult to appear at the intersection, at present, traffic lights are generally arranged at each intersection, so that vehicles and pedestrians arriving at the intersection can pass smoothly in order according to the traffic lights.

In the related art, because the traffic lights are arranged at each intersection, when the single-point signal control is respectively carried out at each intersection, vehicles often stop and start when meeting the red lights, and the traffic problems of low running efficiency of a road network and the like are caused. To reduce the time required for a vehicle to stop at each intersection, green waves are generally used to control traffic signals from multiple adjacent intersections. The vehicle speed range when the vehicle is prompted to run on the traffic routes of the traffic signals of the adjacent intersections through outputting static green wave signals, when the vehicle keeps in the speed range to run, the vehicle reaches each intersection and just meets a green light, the time for the vehicle to wait for the red light is reduced, and the traffic capacity of the vehicle is improved.

In view of the above-mentioned related art, the inventors found that the following drawbacks exist: in the time periods such as rush hour on duty and rush hour or holiday, the traffic flow in the traffic route is increased compared with the ordinary time period, because the speed of the vehicle is not changed according to the regulation of outputting a static green wave signal, when too many vehicles run in the same traffic route in the same time period, the traffic jam of the vehicle running in the traffic route is easily caused, so that the vehicle is not easy to run according to the speed regulated by the green wave signal, the vehicle is caused to encounter more red lights in the subsequent traffic process, and the occurrence probability of the traffic jam problem is further improved.

Disclosure of Invention

In order to reduce the probability of traffic jam problems when the traffic flow rate running on a traffic route is increased, the application provides a dynamic green wave signal control method, a system, a device and a storage medium.

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

a dynamic green wave signal control method comprises the following steps:

acquiring the actual total number of vehicles on the road section of the current road section and the number of lanes on the road section;

analyzing and acquiring the road section reference total vehicle number corresponding to the road section lane number according to the corresponding relation between the road section lane number and the preset road section reference total vehicle number;

judging 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 so, analyzing and calculating the difference between the actual total number of the road sections and the reference total number of the road sections according to the actual total number of the road sections and the reference total number of the road sections and taking the difference as the excess number of the road sections;

analyzing and acquiring an excess green wave signal control scheme corresponding to the number of excess vehicles on the road section according to the corresponding relation between the number of excess vehicles on the road section and a preset excess green wave signal control scheme, and executing the excess green wave signal control scheme;

if not, executing a preset conventional green wave signal control scheme.

By adopting the technical scheme, the actual total number of vehicles on the road section of the current road section and the number of lanes on the road section are obtained, the reference total number of vehicles on the road section is obtained through analysis of the number of lanes on the road section, whether the actual total number of vehicles on the road section is greater than the reference total number of vehicles on the road section is judged, when the actual total number of vehicles on the road section is greater than the reference total number of vehicles on the road section, the difference between the actual total number of vehicles on the road section and the reference 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 reference total number of vehicles on the road section, the difference between the actual total number of vehicles on the road section and the reference total number of vehicles on the road section is used as the excess number of vehicles on the road section, an excess green wave signal control scheme is obtained through analysis of the excess number of vehicles on the road section, the excess vehicles control scheme is executed, and when the actual total number of vehicles on the road section is not greater than the reference total number of vehicles on the road section, the predetermined conventional green wave signal control scheme is executed, so that the green wave signal control scheme is adjusted when the traffic flow is increased in the traffic route, and the traffic jam problem of the traffic jam is further reduced under the condition that the traffic jam occurs under the condition that the traffic flow is increased in the traffic route.

Optionally, analyzing and acquiring the excess green wave signal control scheme corresponding to the number of excess vehicles on the road segment according to the corresponding relationship between the number of excess vehicles on the road segment and the preset excess green wave signal control scheme includes:

acquiring a road section length value of a current road section and an actual time interval period of the road section when the road section is out of a vehicle;

analyzing and acquiring a predicted road section vehicle interval distance value corresponding to the number of the excess vehicles on the road section, the number of the lanes on the road section and the road section length value according to the corresponding relation between the number of the excess vehicles on the road section, the number of the lanes on the road section and the road section length value and the preset predicted road section vehicle interval distance value;

analyzing and acquiring a road section vehicle interval distance predicted value and a road section vehicle speed final predicted value corresponding to the road section vehicle interval distance predicted value and the road section vehicle-out actual interval time period according to the corresponding relation of the road section vehicle interval distance predicted value, the road section vehicle-out actual interval time period and the preset road section vehicle speed final predicted value;

analyzing and calculating a difference value between the final predicted value of the road speed and a preset road conventional speed reference value according to the road speed final predicted value and the preset road conventional speed reference value, and taking the difference value as a road speed difference value;

and analyzing and acquiring an excess green wave signal control scheme corresponding to the road section vehicle speed difference according to the corresponding relation between the road section vehicle speed difference and the preset excess green wave signal control scheme.

By adopting the technical scheme, the road section length value and the road section vehicle-out actual interval time period of the current road section are obtained, the road section vehicle interval distance predicted value is obtained through analysis of the road section excess vehicle number, the road section lane number and the road section length value, the road section vehicle final predicted value is obtained through analysis of the road section vehicle interval distance predicted value and the road section vehicle-out actual interval time period, the road section vehicle speed final predicted value is analyzed and calculated through the road section vehicle speed final predicted value and the preset road section conventional vehicle speed reference value, the difference between the road section vehicle speed final predicted value and the preset road section conventional vehicle speed reference value is used as a road section vehicle speed difference value, and the road section vehicle speed difference value is analyzed and obtained to obtain the excess green wave signal control scheme, so that the accuracy of the obtained excess green wave signal control scheme is improved, and the probability of traffic jam problem under the condition that the vehicle flow rate running in a traffic line is increased is reduced.

Optionally, analyzing and obtaining the predicted value of the distance between the vehicles at the road section corresponding to the number of the vehicles at the road section excess, the number of the lanes at the road section, the length value of the road section, and the predicted value of the distance between the vehicles at the road section preset according to the corresponding relationship between the number of the vehicles at the road section excess, the number of the lanes at the road section, and the length value of the road section and the predicted value of the distance between the vehicles at the road section preset comprises:

analyzing and acquiring a predicted value of the interval distance between the single-lane vehicles corresponding to the number of the excess vehicles on the road section and the length value of the road section according to the corresponding relation between the number of the excess vehicles on the road section, the length value of the road section and the predicted value of the interval distance between the preset single-lane vehicles;

judging whether the number of lanes in the road section is more than one;

if so, analyzing and acquiring the multi-lane vehicle spacing distance influence value corresponding to the road section lane number according to the corresponding relation between the road section lane number and the preset multi-lane vehicle spacing distance influence value;

analyzing and acquiring a multi-lane vehicle separation distance predicted value corresponding to the multi-lane vehicle separation distance influence value and the single-lane vehicle separation distance predicted value according to the corresponding relation between the multi-lane vehicle separation distance influence value and the single-lane vehicle separation distance predicted value and the preset multi-lane vehicle separation distance predicted value, and taking the multi-lane vehicle separation distance predicted value as a road section vehicle separation distance predicted value;

if not, the predicted distance value of the vehicle interval of the single lane is used as the predicted distance value of the vehicle interval of the road section.

By adopting the technical scheme, the predicted value of the vehicle interval distance of the single lane is obtained through the analysis of the value of the number of the excess vehicles in the road section and the length of the road section, whether the number of the lanes in the road section is more than one or not is judged, when the number of the lanes in the road section is more than one, the influence value of the vehicle interval distance of the multi lane is obtained through the analysis of the number of the lanes in the road section, the predicted value of the vehicle interval distance of the multi lane is obtained through the analysis of the influence value of the vehicle interval distance of the multi lane and the predicted value of the vehicle interval distance of the single lane, the predicted value of the vehicle interval distance of the multi lane is used as the predicted value of the vehicle interval distance of the road section, when the number of the lanes in the road section is not more than one, the predicted value of the vehicle interval distance of the single lane is used as the predicted value of the vehicle interval distance of the road section, so that the accuracy of the predicted value of the vehicle interval distance of the obtained road section is improved, and the probability of the traffic jam problem under the condition that the traffic flow is increased is finally achieved.

Optionally, 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 time interval period of the road section vehicle leaving according to the corresponding relationship between the predicted value of the road section vehicle interval distance, the actual time interval period of the road section vehicle leaving and the preset final predicted value of the road section vehicle speed comprises:

analyzing and acquiring a road section vehicle interval distance predicted value and a road section vehicle speed initial predicted value corresponding to the road section vehicle interval distance predicted value and the road section vehicle-out actual interval time period according to the corresponding relation of the road section vehicle interval distance predicted value, the road section vehicle-out actual interval time period and the preset road section vehicle speed initial predicted value;

acquiring road section vehicle type information of a current road section;

judging whether the road section vehicle type information contains preset safety guarantee vehicle type information or not;

if so, analyzing and acquiring a safety guarantee vehicle speed influence value corresponding to the safety guarantee vehicle type information according to the corresponding relation between the safety guarantee vehicle type information and a preset safety guarantee vehicle speed influence value;

analyzing and obtaining a road section vehicle speed and vehicle type influence predicted value corresponding to the safety guarantee vehicle speed influence value and the road section vehicle speed initial predicted value according to the corresponding relation between the safety guarantee vehicle speed influence value, the road section vehicle speed initial predicted value and a preset road section vehicle speed and vehicle type influence predicted value, and taking the road section vehicle speed and vehicle type influence predicted value as a road section vehicle speed final predicted value;

if not, taking the initial predicted value of the road section vehicle speed as the final predicted value of the road section vehicle speed.

By adopting the technical scheme, the initial predicted value of the road speed is obtained through analysis of the predicted value of the distance between vehicles at the road section and the actual time interval between vehicle outgoing from the road section, the type information of the vehicle type at the road section is obtained, whether the type information of the vehicle type at the road section contains the preset type information of the safety guarantee vehicle is judged, when the type information of the vehicle type at the road section contains the preset type information of the safety guarantee vehicle, the influence value of the safety guarantee vehicle speed is obtained through analysis of the influence value of the safety guarantee vehicle speed and the initial predicted value of the road speed, the influence predicted value of the vehicle type at the road section is used as the final predicted value of the road speed, and when the type information of the vehicle type at the road section does not contain the preset type information of the safety guarantee vehicle, the initial predicted value of the road speed is used as the final predicted value of the road speed, so that the accuracy of the final predicted value of the road speed at the road section is improved, and the aim of reducing the probability of traffic jam problem under the condition that the vehicle flow quantity running in a traffic route is increased is finally achieved.

Optionally, analyzing and obtaining the initial predicted value of the vehicle speed of the road section corresponding to the predicted value of the vehicle interval distance of the road section and the actual time interval period of vehicle departure of the road section according to the corresponding relationship between the predicted value of the vehicle interval distance of the road section, the actual time interval period of vehicle departure of the road section and the preset initial predicted value of the vehicle speed of the road section comprises:

when the predicted value of the road section vehicle interval distance is the predicted value of the single-lane vehicle interval distance, analyzing and obtaining the initial predicted value of the single-lane vehicle speed corresponding to the predicted value of the single-lane vehicle interval distance and the actual time interval of the road section vehicle leaving and the preset initial predicted value of the single-lane vehicle speed according to the corresponding relation between the predicted value of the single-lane vehicle interval distance and the actual time interval of the road section vehicle leaving and the preset initial predicted value of the single-lane vehicle speed, and taking the initial predicted value of the single-lane vehicle speed as the initial predicted value of the road section vehicle speed;

when the predicted value of the road section vehicle interval distance is the predicted value of the multi-lane vehicle interval distance, analyzing and obtaining the initial predicted value of the multi-lane vehicle speed corresponding to the predicted value of the multi-lane vehicle interval distance and the actual time interval period of the road section vehicle leaving according to the corresponding relation of the predicted value of the multi-lane vehicle interval distance, the actual time interval period of the road section vehicle leaving and the preset initial predicted value of the multi-lane vehicle speed;

judging whether the predicted value of the interval distance of the multi-lane vehicles is larger than a preset reference value of the interval distance of the multi-lane vehicles;

if not, taking the initial predicted value of the multi-lane vehicle speed as the initial predicted value of the road section vehicle speed;

if so, analyzing and acquiring a multilane vehicle overtaking influence value according to a judgment result of whether the multilane vehicle speed initial predicted value is greater than a preset road section overtaking vehicle speed reference value;

and analyzing and obtaining the multi-lane vehicle overtaking predicted value corresponding to the multi-lane vehicle overtaking initial predicted value and the multi-lane vehicle overtaking influence value according to the corresponding relation of the multi-lane vehicle overtaking predicted value, the multi-lane vehicle overtaking influence value and the preset multi-lane vehicle overtaking predicted value, and taking the multi-lane vehicle overtaking predicted value as the road section vehicle speed initial predicted value.

By adopting the technical scheme, when the predicted value of the interval distance of the vehicles on the road section is the predicted value of the interval distance of the vehicles on the single lane, the initial predicted value of the speed of the vehicle on the single lane is obtained through analysis of the predicted value of the interval distance of the vehicles on the single lane and the actual interval time period of the vehicles on the road section, the initial predicted value of the speed of the vehicle on the multi lane is obtained through analysis of the interval distance of the vehicles on the multi lane and the actual interval time period of the vehicles on the road section, whether the predicted value of the interval distance of the vehicles on the multi lane is greater than the preset reference value of the interval distance of the vehicles on the multi lane is judged, when the predicted value of the interval distance of the vehicles on the multi lane is not greater than the preset reference value of the interval distance of the vehicles on the multi lane, the initial predicted value of the speed of the vehicle on the multi lane is obtained through analysis of the initial predicted value of the interval distance of the vehicles on the multi lane, the estimated value of the interval distance of the vehicle on the multi lane is obtained through analysis, and the final predicted value of the speed of the road section is obtained through analysis, and the predicted value of the estimated value of the initial predicted value of the speed of the vehicle on the multi lane is increased, thereby increasing the traffic jam of the road section.

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

judging whether the initial predicted value of the multi-lane vehicle speed is greater than a preset road section overtaking vehicle speed reference value or not;

if so, analyzing and calculating the difference between the initial predicted value of the multi-lane vehicle speed and the reference value of the road section overtaking vehicle speed according to the initial predicted value of the multi-lane vehicle speed and the reference value of the road section overtaking vehicle speed, and taking the difference as the difference of the road section overtaking vehicle speed;

analyzing and acquiring a road section overtaking influence value corresponding to the road section overtaking speed difference value according to the corresponding relation between the road section overtaking speed difference value and a preset road section overtaking influence value, and taking the road section overtaking influence value as a multilane vehicle overtaking influence value;

if not, outputting a preset road section non-overtaking influence value, and taking the road section non-overtaking influence value as a multi-lane vehicle overtaking influence value.

By adopting the technical scheme, whether the initial predicted value of the multi-lane vehicle speed is greater than the preset road section overtaking vehicle speed reference value or not is judged, when the initial predicted value of the multi-lane vehicle speed is greater than the preset road section overtaking vehicle speed reference value, the difference between the initial predicted value of the multi-lane vehicle speed and the road section overtaking vehicle speed reference value is analyzed and calculated through the initial predicted value of the multi-lane vehicle speed and the road section overtaking vehicle speed reference value, the difference between the initial predicted value of the multi-lane vehicle speed and the road section overtaking vehicle speed reference value is used as the road section overtaking vehicle speed difference, the road section overtaking influence value is obtained through analyzing the road section overtaking vehicle speed difference, the road section overtaking influence value is used as the multi-lane vehicle overtaking influence value, when the initial predicted value of the multi-lane vehicle speed is not greater than the preset road section overtaking vehicle speed reference value, the preset road section non-overtaking influence value is used as the multi-lane vehicle overtaking influence value, the accuracy of the obtained multi-lane vehicle overtaking influence value is improved, and the purpose of reducing the probability of the traffic jam problem under the condition that the increase of the traffic flow rate of the vehicles running in the traffic line is finally achieved.

Optionally, analyzing and acquiring the excess green wave signal control scheme corresponding to 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 includes:

analyzing and acquiring a green wave speed adjustment value corresponding to the road section vehicle speed difference value according to the corresponding relation between the road section vehicle speed difference value and a preset green wave speed adjustment value;

according to the green wave speed adjustment value and a preset green wave speed reference value, analyzing and calculating a sum value between the green wave speed adjustment value and the preset green wave speed reference value and taking the sum value as a green wave speed final value;

and analyzing and acquiring the excess green wave signal control scheme corresponding to the green wave speed final value according to the corresponding relation between the green wave speed final value and the preset excess green wave signal control scheme.

By adopting the technical scheme, the green wave speed adjusting value is obtained through the road section vehicle speed difference analysis, the sum of the green wave speed adjusting value and the preset green wave speed reference value is analyzed and calculated through the green wave speed adjusting value and the preset green wave speed reference value, the sum of the green wave speed adjusting value and the preset green wave speed reference value is used as the green wave speed final value, and the green wave speed final value analysis is carried out to obtain the excess green wave signal control scheme, so that the accuracy of the obtained excess green wave signal control scheme is improved, and the purpose of reducing the probability of traffic jam under the condition that the vehicle flow rate running in a traffic line is increased is finally achieved.

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

a dynamic green wave signal control system, comprising:

the acquisition module is used for acquiring the actual total number of vehicles on the road section, the number of lanes on the road section, the length value of the road section, the actual time interval period of the vehicle leaving on the road section and the type information of the vehicle on the road section;

a memory for storing a program of a dynamic green wave signal control method as in any one of the first aspect;

a processor, a program in a memory capable of being loaded and executed by the processor and implementing a method of dynamic green wave signal control as in any one of the first aspect.

By adopting the technical scheme, the actual total number of vehicles in the road section, the number of lanes in the road section, the length value of the road section, the actual time interval of the vehicle-out of the road section and the type information of the vehicle in the road section are obtained by the obtaining module, and the program in the execution memory is loaded by the processor, so that the aim of reducing the probability of traffic jam problem under the condition that the traffic flow driven in a traffic line is increased is fulfilled.

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

a dynamic green wave signal control apparatus comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes a dynamic green wave signal control method as in any one of the first aspects.

By adopting the technical scheme, the processor loads and executes the program in the memory, so that the aim of reducing the probability of traffic jam under the condition that the traffic flow running in a traffic route is increased is fulfilled.

In a fourth aspect, the present application provides a computer storage medium capable of storing a corresponding program, having a feature of facilitating a reduction in a probability of a traffic jam occurring under a condition that a traffic flow rate running in a traffic route is increased, the following technical solution is adopted:

a computer storage medium storing a computer program capable of being loaded by a processor and executing a dynamic green wave signal control method as in any one of the first aspect.

By adopting the technical scheme, the program is stored through the storage medium, so that the program is loaded and executed by the processor when needed, and the aim of reducing the probability of traffic jam problem under the condition that the traffic flow running in a traffic line is increased is fulfilled.

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

1. the method comprises the steps of obtaining the actual total number of vehicles and the number of lanes of a road section at the current road section, analyzing the number of lanes of the road section to obtain the reference total number of vehicles of the road section, judging whether the actual total number of vehicles of the road section is greater than the reference total number of vehicles of the road section, analyzing and calculating the difference value between the actual total number of vehicles of the road section and the reference total number of vehicles of the road section to obtain the excess number of vehicles of the road section when the actual total number of vehicles of the road section is greater than the reference total number of vehicles of the road section, analyzing the excess number of vehicles of the road section to obtain an excess green wave signal control scheme, executing the excess green wave signal control scheme, and executing a preset conventional green wave signal control scheme when the actual total number of vehicles of the road section is not greater than the reference total number of vehicles of the road section, so that the green wave signal control scheme is adjusted when the traffic flow in the traffic line is increased, and further reducing the probability of traffic jam problems under the condition that the traffic flow in the traffic line is increased;

2. the method comprises the steps that a predicted value of the interval distance between the vehicles in the single lane is obtained through analysis of the number of the excess vehicles in the road section and the length value of the road section, whether the number of lanes in the road section is greater than one or not is judged, when the number of lanes in the road section is greater than one, an influence value of the interval distance between the vehicles in the multiple lanes is obtained through analysis of the number of lanes in the road section, the predicted value of the interval distance between the vehicles in the multiple lanes is obtained through analysis of the influence value of the interval distance between the vehicles in the multiple lanes and the predicted value of the interval distance between the vehicles in the single lane and serves as the predicted value of the interval distance between the vehicles in the road section, and when the number of lanes in the road section is not greater than one, the predicted value of the interval distance between the vehicles in the single lane serves as the predicted value of the vehicles in the road section, so that the accuracy of the predicted value of the interval distance between the vehicles in the road section is improved;

3. the method comprises the steps of obtaining a road section vehicle speed initial predicted value through analysis of a road section vehicle interval distance predicted value and a road section vehicle-out actual interval time period, obtaining road section vehicle type information of a current road section, judging whether the road section vehicle type information contains preset safety guarantee vehicle type information, obtaining a safety guarantee vehicle speed influence value through analysis of the safety guarantee vehicle type information when the road section vehicle type information contains the preset safety guarantee vehicle type information, obtaining the road section vehicle speed vehicle type influence predicted value through analysis of the safety guarantee vehicle speed influence value and the road section vehicle speed initial predicted value, and using the road section vehicle speed influence predicted value as a road section vehicle speed final predicted value, and taking the road section vehicle speed initial predicted value as the road section vehicle speed final predicted value when the road section vehicle type information does not contain the preset safety guarantee vehicle type information, so that the accuracy of the obtained road section vehicle speed final predicted value is improved.

Drawings

Fig. 1 is a flowchart of a method for dynamic green wave signal control according to an embodiment of the present application.

Fig. 2 is a flowchart of a method for analyzing and acquiring an excess green wave signal control scheme corresponding to the number of excess vehicles on a road section according to a corresponding relationship between the number of excess vehicles on the road section and a preset excess green wave signal control scheme according to an embodiment of the present application.

Fig. 3 is a flowchart of a method for analyzing and obtaining predicted values of the distance between vehicles on the road section, which are corresponding to the number of vehicles on the road section, the number of lanes on the road section, and the length value of the road section, according to the corresponding relationship between the number of vehicles on the road section, the number of lanes on the road section, and the preset predicted value of the distance between vehicles on the road section.

Fig. 4 is a flowchart of a method for analyzing and obtaining a final predicted value of the vehicle speed of the road section corresponding to a predicted value of the vehicle interval distance of the road section and a time period of the actual vehicle interval of the road section according to a corresponding relationship between the predicted value of the vehicle interval distance of the road section, the time period of the actual vehicle interval of the road section, and a preset final predicted value of the vehicle speed of the road section.

Fig. 5 is a flowchart of a method for analyzing and obtaining an initial predicted value of a vehicle speed of a road segment corresponding to a predicted value of a vehicle interval distance of the road segment and a time interval period of an actual vehicle leaving time of the road segment according to a corresponding relationship between the predicted value of the vehicle interval distance of the road segment, the time interval period of the actual vehicle leaving time of the road segment and a preset initial predicted value of the vehicle speed of the road segment.

Fig. 6 is a flowchart of a method for analyzing and obtaining an overtaking influence value of a multi-lane vehicle according to a determination result of whether an initial predicted value of the multi-lane vehicle speed is greater than a preset road section overtaking reference value.

Fig. 7 is a flowchart of a method for analyzing and obtaining an excess green wave signal control scheme corresponding to a road speed difference according to a corresponding relationship between the road speed difference and a preset excess green wave signal control scheme according to the embodiment of the application.

Fig. 8 is a system flow diagram of dynamic green wave signal control according to an embodiment of the present application.

Description of reference numerals: 1. an acquisition module; 2. a memory; 3. a processor.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to fig. 1-8 and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.

The embodiment of the application discloses a dynamic green wave signal control method.

Referring to fig. 1, a dynamic green wave signal control method includes:

and step S100, acquiring the actual total number of vehicles and the number of lanes of the road section of the current road section.

The actual total number of the vehicles on the road section is obtained by subtracting the sum of the number of the vehicles driven in the current time of the road section and the number of the vehicles left on the road section from the number of the vehicles driven out the current time of the road section, and then analyzing and calculating.

The number of the lanes in the road section refers to the number of the lanes in the current road section, and the number of the lanes in the road section is obtained by inquiring a database in which the number of the lanes in the road section is stored.

And step S200, analyzing and acquiring the road section reference total vehicle number corresponding to the road section lane number according to the corresponding relation between the road section lane number and the preset road section reference total vehicle number.

The road section reference total vehicle number refers to the maximum number of vehicles which are difficult to cause congestion under the indication of the green wave signal in the current road section, and is obtained by inquiring a database in which the road section reference total vehicle number is stored.

The road section reference total vehicle number is obtained through road section lane number analysis, and therefore the road section reference total vehicle number can be conveniently used subsequently.

And step S300, judging whether the actual total number of the vehicles on the road section is greater than the reference total number of the vehicles on the road section. If yes, go to step S400; if not, go to step S600.

The method comprises the steps of judging whether the actual total number of vehicles in the road section is larger than the reference total number of vehicles in the road section or not, and judging whether the total number of vehicles actually running in the current road section is larger than the maximum number of vehicles which are difficult to cause congestion under the indication of a green wave signal in the current road section or not.

And step S400, analyzing and calculating the difference value between the actual total number of the road sections and the reference total number of the road sections according to the actual total number of the road sections and the reference total number of the road sections, and taking the difference value as the number of the excess vehicles of the road sections.

The number of vehicles in excess of the link refers to the number of vehicles actually traveling on the current link that exceeds the maximum number of vehicles that are unlikely to cause congestion under the instruction of the green wave signal on the current link.

When the actual total number of vehicles on the road section is greater than the reference total number of vehicles on the road section, it is indicated that the total number of vehicles actually running on the current road section is greater than the maximum number of vehicles which are difficult to cause congestion under the indication of the green wave signal in the current road section, so that the difference between the actual total number of vehicles on the road section and the reference 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 reference total number of vehicles on the road section, and the difference between the actual total number of vehicles on the road section and the reference total number of vehicles on the road section is used as the number of vehicles which are excessive on the road section, so that the number of vehicles which are excessive on the road section is convenient to use.

And step S500, analyzing and acquiring the excess green wave signal control scheme corresponding to the number of the excess vehicles on the road section according to the corresponding relation between the number of the excess vehicles on the road section and the preset excess green wave signal control scheme, and executing the excess green wave signal control scheme.

The excess green wave signal control scheme is a scheme for controlling green wave signals when the number of vehicles actually running on the current road section exceeds the road section reference total number of vehicles, and is inquired and acquired from a database in which the excess green wave signal control scheme is stored.

The method comprises the steps of obtaining an excess green wave signal control scheme through analysis of the number of excess vehicles on the road section, and executing the excess green wave signal control scheme, so that the green wave signal control scheme is adjusted when the traffic flow of the traffic route is increased, and the probability of traffic jam problem under the condition that the traffic flow of the traffic route is increased is further reduced.

And step S600, executing a preset conventional green wave signal control scheme.

The conventional green wave signal control scheme is a scheme for controlling a green wave signal when the number of vehicles actually running on the current road section does not exceed the reference total number of vehicles on the road section. The conventional green wave signal control scheme is inquired and obtained from a database in which the conventional green wave signal control scheme is stored.

When the actual total number of vehicles on the road section is not more than the reference total number of vehicles on the road section, the total number of vehicles actually running on the current road section is not more than the maximum number of vehicles which are difficult to cause congestion under the indication of the green wave signal in the current road section, so that the preset conventional green wave signal control scheme is directly executed.

In step S500 shown in fig. 1, in order to further ensure the reasonableness of the excess green wave signal control scheme, a further independent analysis and calculation needs to be performed on the excess green wave signal control scheme, which is specifically described in detail by the steps shown in fig. 2.

Referring to fig. 2, according to the corresponding relationship between the number of the excess vehicles on the road section and the preset control scheme of the excess green wave signal, the step of analyzing and acquiring the control scheme of the excess green wave signal corresponding to the number of the excess vehicles on the road section comprises the following steps:

step S510, a road section length value of the current road section and an actual time interval period of the road section when the vehicle is out are obtained.

The road section length value refers to the length of the current road section, and is obtained by positioning two end points of the current road section through a GPS (global positioning system) and analyzing, calculating and obtaining the road section length value. The two end points of the current road section can be acquired through the GPS sensors preset at the two end points of the current road section.

The actual time interval period of the vehicle-out of the road section refers to the time interval between two adjacent vehicles driving out of the current road section, and the actual time interval period of the vehicle-out of the road section is obtained by obtaining the time points of the two adjacent vehicles driving out of the current road section and performing analysis calculation. The time point of two adjacent vehicles driving out of the current road section can be obtained through a database when the vehicles drive out and are obtained through an image recognition device, the database when the vehicles drive out and are obtained through a photoelectric sensor can also be obtained, and the time point of two adjacent vehicles driving out of the current road section can also be obtained through a database when the vehicles drive out and are obtained through a pressure sensor.

Step S520, analyzing and obtaining the predicted value of the distance between the vehicles at the road section corresponding to the number of the vehicles at the road section, the number of the lanes at the road section and the length value of the road section according to the corresponding relation between the number of the vehicles at the road section, the number of the lanes at the road section and the preset predicted value of the distance between the vehicles at the road section.

The predicted value of the vehicle interval distance of the road section refers to a predicted value of the distance between two vehicles running out of the current road section adjacently, and the predicted value of the vehicle interval distance of the road section is obtained by inquiring a database in which the predicted value of the vehicle interval distance of the road section is stored.

The predicted value of the vehicle interval distance of the road section is obtained through analyzing the values of the number of the excess vehicles in the road section, the number of the lanes in the road section and the length of the road section, and therefore the predicted value of the vehicle interval distance of the road section can be conveniently used in the follow-up process.

Step S530, 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 time interval when the vehicle leaves the road section according to the corresponding relation of the predicted value of the road section vehicle interval distance, the actual time interval when the vehicle leaves the road section and the preset final predicted value of the road section vehicle speed.

The final predicted value of the road section vehicle speed refers to a final predicted value of the vehicle speed of a vehicle which is driven out of the current road section after two adjacent vehicles are driven out of the current road section, and the final predicted value of the road section vehicle speed is obtained by inquiring a database in which the final predicted value of the road section vehicle speed is stored.

The final predicted value of the speed of the road section is obtained through analysis of the predicted value of the distance between vehicles at the road section and the actual time interval of the time interval between the vehicles at the road section, so that the predicted speed of the vehicles running in the current road section is obtained, and the final predicted value of the speed of the road section is conveniently used in the follow-up process.

And S540, analyzing and calculating a difference value between the final predicted value of the road section vehicle speed and a preset road section conventional vehicle speed reference value according to the final predicted value of the road section vehicle speed and the preset road section conventional vehicle speed reference value, and taking the difference value as a road section vehicle speed difference value.

The road section conventional vehicle speed reference value is the minimum speed required when a vehicle runs in the current road section and passes through a red light at each intersection at a distance and changes into a green light, and is obtained by inquiring a database in which the road section conventional vehicle speed reference value is stored.

The road section vehicle speed difference is the difference between the final predicted vehicle speed when the vehicle runs in the current road section and the minimum speed required when the vehicle runs in the current road section and changes into green light after passing through the signal light at each intersection.

And analyzing and calculating the difference between the final predicted value of the road section vehicle speed and the preset reference value of the road section conventional vehicle speed through the final predicted value of the road section vehicle speed and the preset reference value of the road section conventional vehicle speed, and taking the difference between the final predicted value of the road section vehicle speed and the preset reference value of the road section conventional vehicle speed as the difference of the road section vehicle speed, thereby facilitating the subsequent use of the difference of the road section vehicle speed.

And step S550, analyzing and acquiring the excess green wave signal control scheme corresponding to the road section vehicle speed difference according to the corresponding relation between the road section vehicle speed difference and the preset excess green wave signal control scheme.

The method comprises the steps of obtaining an excess green wave signal control scheme through road section speed difference analysis, adjusting the obtained excess green wave signal control scheme according to the difference between the final predicted speed when a vehicle runs in the current road section and the minimum speed required when the vehicle runs in the current road section and changes into green light through one red light at intervals of signal lamps at each intersection, improving the accuracy of the obtained excess green wave signal control scheme, and further reducing the probability of traffic jam under the condition that the traffic flow running in a traffic line is increased.

In step S520 shown in fig. 2, in order to further ensure the reasonableness of the predicted road-section vehicle separation distance value, the predicted road-section vehicle separation distance value needs to be further analyzed and calculated individually, and the detailed description will be given by the steps shown in fig. 3.

Referring to fig. 3, analyzing and acquiring the predicted value of the distance between vehicles at the road section corresponding to the number of vehicles at the road section excess, the number of lanes at the road section, the length value of the road section, and the predicted value of the distance between vehicles at the road section preset according to the corresponding relationship between the number of vehicles at the road section excess, the number of lanes at the road section, and the length value of the road section and the predicted value of the distance between vehicles at the road section preset comprises the following steps:

and step S521, analyzing and acquiring the predicted distance between vehicles in the single lane corresponding to the number of the excess vehicles in the road section and the road section length value according to the corresponding relation between the number of the excess vehicles in the road section, the road section length value and the preset predicted distance between vehicles in the single lane.

The predicted value of the interval distance between the vehicles in the single lane is the predicted value of the distance between two vehicles when the vehicles exit from the current road section with only one lane. And inquiring and acquiring the predicted value of the spacing distance of the single-lane vehicles from a database in which the predicted value of the spacing distance of the single-lane vehicles is stored.

The predicted value of the spacing distance of the vehicles on the single lane is obtained through analyzing the number of the excess vehicles on the road section and the length value of the road section, so that the predicted value of the spacing distance of the vehicles on the single lane can be conveniently used in the follow-up process.

In step S522, it is determined whether the number of lanes in the road segment is greater than one. If yes, go to step S523; if not, go to step S525.

And judging whether the number of the lanes on the road section is more than one so as to judge whether the predicted value of the spacing distance between the vehicles on the single lane acquired at the moment is accurate.

Step S523, analyzing and acquiring the influence value of the inter-vehicle distance between the multiple lanes corresponding to the number of lanes on the road section according to the corresponding relationship between the number of lanes on the road section and the preset influence value of the inter-vehicle distance between the multiple lanes.

The influence value of the inter-vehicle separation distance is an influence value generated on a distance between two vehicles which exit from a current road section when a plurality of lanes exist in the current road section. And inquiring and acquiring the influence value of the interval distance of the multi-lane vehicles from a database in which the influence value of the interval distance of the multi-lane vehicles is stored.

When the number of the lanes in the road section is more than one, the predicted value of the interval distance between the vehicles in the single lane obtained at the moment is inaccurate, so that the influence value of the interval distance between the vehicles in the multiple lanes is obtained through analyzing the number of the lanes in the road section, and the influence value of the interval distance between the vehicles in the multiple lanes is conveniently used in the follow-up process.

Step S524, analyzing and obtaining the predicted value of the inter-vehicle distance between the multi-lane vehicles corresponding to the influence value of the inter-vehicle distance between the multi-lane vehicles and the predicted value of the inter-vehicle distance between the single-lane vehicles according to the corresponding relationship between the influence value of the inter-vehicle distance between the multi-lane vehicles, the predicted value of the inter-vehicle distance between the single-lane vehicles and the predicted value of the inter-vehicle distance between the multi-lane vehicles and the preset predicted value of the inter-vehicle distance between the multi-lane vehicles, and using the predicted value of the inter-vehicle distance between the multi-lane vehicles as the predicted value of the inter-vehicle distance between the road sections.

The predicted value of the interval distance between the vehicles in the multiple lanes refers to the predicted value of the distance between two vehicles when the vehicles are driven out of the current road section of the multiple lanes adjacently. The predicted value of the interval distance of the multilane vehicles is obtained by inquiring a database in which the predicted value of the interval distance of the multilane vehicles is stored.

The predicted value of the interval distance of the vehicles on the multi-lane is obtained through analysis of the influence value of the interval distance of the vehicles on the multi-lane and the predicted value of the interval distance of the vehicles on the single lane, and the predicted value of the interval distance of the vehicles on the multi-lane is used as the predicted value of the interval distance of the vehicles on the road section, so that the accuracy of the predicted value of the interval distance of the vehicles on the road section is improved, and the purpose of reducing the probability of traffic jam problems under the condition that the traffic flow quantity is increased when the vehicles travel in a traffic line is finally achieved.

And step S525, taking the single lane vehicle interval distance predicted value as the road section vehicle interval distance predicted value.

When the number of the lanes of the road section is not more than one, the fact that the predicted value of the vehicle interval distance of the single lane is accurate is shown, and therefore the predicted value of the vehicle interval distance of the single lane is used as the predicted value of the vehicle interval distance of the road section, the accuracy of the predicted value of the vehicle interval distance of the road section is improved, and the purpose of reducing the probability of traffic jam under the condition that the traffic flow of vehicles running in a traffic route is increased is achieved.

In step S530 shown in fig. 2, in order to further ensure the reasonableness of the link vehicle speed final predicted value, it is necessary to further perform a separate analysis and calculation on the link vehicle speed final predicted value, and the detailed description will be given by referring to the step shown in fig. 4.

Referring to fig. 4, according to the corresponding relationship between the predicted distance between vehicles at the road section, the actual time interval between vehicles leaving the road section, and the final predicted value of the vehicle speed at the road section, which is preset, the step of analyzing and obtaining the final predicted value of the vehicle speed at the road section corresponding to the predicted distance between vehicles at the road section and the actual time interval between vehicles leaving the road section comprises the following steps:

and step S531, analyzing and acquiring 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 time interval period of the road section vehicle leaving according to the corresponding relation between the predicted value of the road section vehicle interval distance and the actual time interval period of the road section vehicle leaving and the preset initial predicted value of the road section vehicle speed.

The initial predicted value of the speed of the road section is the initial predicted value of the speed of a vehicle which is out of two vehicles which are out of the current road section and adjacent to each other and then out of the current road section, and the initial predicted value of the speed of the road section is obtained by inquiring a database in which the initial predicted value of the speed of the road section is stored.

The initial predicted value of the road section speed is obtained through analysis of the predicted value of the road section vehicle interval distance and the actual road section vehicle-out interval time period, and therefore the initial predicted value of the road section speed is conveniently used in the follow-up process.

And step S532, obtaining the road section vehicle type information of the current road section.

The road section vehicle type information is the vehicle type of a vehicle running in the current road section, and is obtained by analyzing and obtaining the vehicle after the vehicle is detected by preset image detection devices on two 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 analyzed and obtained from the vehicle image information obtained by the image detection device according to the vehicle type characteristic.

Step S533, determining whether the road section vehicle type information includes preset safety guarantee vehicle type information. If yes, go to step S534; if not, go to step S536.

The safety guarantee vehicle type information refers to the information of the vehicle type needing safety guarantee, and is obtained by inquiring from a database in which the safety guarantee vehicle type information is stored.

Judging whether the road section vehicle type information contains preset safety guarantee vehicle type information or not so as to judge whether the vehicle type of the vehicle running in the current road section contains the vehicle of the vehicle type needing safety guarantee or not.

Step S534, analyzing and obtaining the safety guarantee vehicle speed influence value corresponding to the safety guarantee vehicle type information according to the corresponding relation between the safety guarantee vehicle type information and the preset safety guarantee vehicle speed influence value.

The safety guarantee vehicle speed influence value refers to an influence value of a vehicle needing safety guarantee on the vehicle speed, and is inquired and obtained from a database in which the safety guarantee vehicle speed influence value is stored.

When the road section vehicle type information contains the preset safety guarantee vehicle type information, it is shown that the vehicle type of the vehicle running in the current road section at the moment contains the vehicle of the vehicle type needing safety guarantee, so that the safety guarantee vehicle speed influence value is obtained through safety guarantee vehicle type information analysis, and the safety guarantee vehicle speed influence value is conveniently used subsequently.

The safety guarantee vehicle type information comprises safety guarantee manned vehicle type information and safety guarantee non-manned vehicle type information, the safety guarantee manned vehicle type information comprises vehicle types such as passenger cars and ambulances, and the safety guarantee non-manned vehicle type information comprises vehicle types of cleaning cars, trucks and dangerous goods transport vehicles.

When the safety guarantee manned vehicle type information is only the safety guarantee manned vehicle type information, analyzing and obtaining a safety guarantee manned vehicle type speed influence value corresponding to the safety guarantee manned vehicle type information according to the corresponding relation between the safety guarantee manned vehicle type information and a preset safety guarantee manned vehicle type speed influence value, and taking the safety guarantee manned vehicle type speed influence value as a safety guarantee vehicle speed influence value.

When the safety guarantee vehicle type information is only safety guarantee unmanned vehicle type information, analyzing and obtaining a safety guarantee unmanned vehicle type vehicle speed influence value corresponding to the safety guarantee unmanned vehicle type information according to the corresponding relation between the safety guarantee unmanned vehicle type information and a preset safety guarantee unmanned vehicle type vehicle speed influence value, and taking the safety guarantee unmanned vehicle type vehicle speed influence value as a safety guarantee vehicle speed influence value.

When the safety guarantee vehicle type information is safety guarantee manned vehicle type information and safety guarantee unmanned vehicle type information, analyzing and obtaining a safety guarantee total vehicle speed influence value corresponding to the safety guarantee manned vehicle type vehicle speed influence value and the safety guarantee unmanned vehicle type vehicle speed influence value according to the corresponding relation between the safety guarantee manned vehicle type vehicle speed influence value, the safety guarantee unmanned vehicle type vehicle speed influence value and a preset safety guarantee total vehicle speed influence value, and taking the safety guarantee total vehicle speed influence value as the safety guarantee vehicle speed influence value. The accuracy of the acquired safety guarantee vehicle speed influence value is improved by performing classification analysis on one or more of safety guarantee manned vehicle type information and safety guarantee non-manned vehicle type information contained in the safety guarantee vehicle type information.

And step S535, analyzing and acquiring the road section vehicle speed and vehicle type influence predicted value corresponding to the safety guarantee vehicle speed influence value and the road section vehicle speed initial predicted value according to the corresponding relation between the safety guarantee vehicle speed influence value, the road section vehicle speed initial predicted value and the preset road section vehicle speed and vehicle type influence predicted value, and taking the road section vehicle speed and vehicle type influence predicted value as the road section vehicle speed final predicted value.

The road section vehicle speed and vehicle type influence predicted value is a predicted value obtained after the vehicle speed of a vehicle which is driven out of a current road section after being driven out of two adjacent vehicles which are driven out of the current road section is influenced by safety guarantee, and the road section vehicle speed and vehicle type influence predicted value is inquired and obtained from a database in which the road section vehicle speed and vehicle type influence predicted value is stored.

And analyzing the road section vehicle speed and vehicle type influence predicted value through the safety guarantee vehicle speed influence value and the road section vehicle speed initial predicted value to obtain the road section vehicle speed and vehicle type influence predicted value, and taking the road section vehicle speed and vehicle type influence predicted value as the road section vehicle speed final predicted value, so that the accuracy of the obtained road section vehicle speed final predicted value is improved, and the aim of reducing the probability of traffic jam problems under the condition that the traffic flow of the vehicle running in a traffic line is increased is fulfilled.

In step S536, the initial predicted value of the link vehicle speed is used as the final predicted value of the link vehicle speed.

When the road section vehicle type information does not contain the preset safety guarantee vehicle type information, the fact that the vehicle type of the vehicle running on the current road section does not contain the vehicle of the vehicle type needing safety guarantee is shown, the road section vehicle speed initial predicted value is used as the road section vehicle speed final predicted value, therefore, the accuracy of the obtained road section vehicle speed final predicted value is improved, and the purpose of reducing the probability of traffic jam under the condition that the vehicle flow running on a traffic route is increased is achieved.

In step S531 shown in fig. 4, in order to further ensure the reasonableness of the initial predicted value of the link vehicle speed, it is necessary to further perform a separate analysis and calculation on the initial predicted value of the link vehicle speed, and the detailed description will be given by referring to the step shown in fig. 5.

Referring to fig. 5, according to the corresponding relationship between the predicted distance between vehicles at the road section, the actual time interval between vehicles leaving the road section and the preset initial predicted value of the speed of the road section, analyzing and obtaining the initial predicted value of the speed of the road section corresponding to the predicted distance between vehicles at the road section and the actual time interval between vehicles leaving the road section comprises the following steps:

and S5311, when the predicted road section vehicle interval distance value is the predicted single-lane vehicle interval distance value, analyzing and obtaining the initial predicted single-lane vehicle speed value corresponding to the predicted single-lane vehicle interval distance value and the actual road section vehicle-out interval time period according to the corresponding relation between the predicted single-lane vehicle interval distance value, the actual road section vehicle-out interval time period and the preset initial single-lane vehicle speed predicted value, and taking the initial single-lane vehicle speed predicted value as the initial road section vehicle speed predicted value.

The single-lane vehicle speed initial predicted value is an initial predicted value of the vehicle speed of a vehicle which is driven out of two adjacent vehicles on a current road section with only one lane, and the single-lane vehicle speed initial predicted value is obtained by inquiring a database in which the single-lane vehicle speed initial predicted value is stored.

When the predicted value of the road section vehicle interval distance is the predicted value of the single-lane vehicle interval distance, the initial predicted value of the single-lane vehicle speed is obtained through analysis of the predicted value of the single-lane vehicle interval distance and the actual time interval of the road section vehicle-out, and the initial predicted value of the single-lane vehicle speed is used as the initial predicted value of the road section vehicle speed, so that the accuracy of the obtained initial predicted value of the road section vehicle speed is improved, and the purpose of reducing the probability of traffic jam problems under the condition that the traffic flow quantity running in a traffic line is increased is finally achieved.

And S5312, when the predicted distance between vehicles at the road section is the predicted distance between vehicles at multiple lanes, analyzing and obtaining the initial predicted value of the vehicle at multiple lanes corresponding to the predicted distance between vehicles at multiple lanes and the actual time interval between vehicles at the road section according to the corresponding relation between the predicted distance between vehicles at multiple lanes, the actual time interval between vehicles at the road section and the preset initial predicted value of the vehicle at multiple lanes.

The initial predicted value of the multi-lane vehicle speed refers to the initial predicted value of the vehicle speed of a vehicle which is driven out of two adjacent vehicles on a current road section with a plurality of lanes, and the initial predicted value of the multi-lane vehicle speed is obtained by inquiring from a database in which the initial predicted value of the multi-lane vehicle speed is stored.

The initial predicted value of the multi-lane vehicle speed is obtained through analysis of the predicted value of the multi-lane vehicle interval distance and the actual interval time period of the road section vehicle outgoing, and therefore the initial predicted value of the multi-lane vehicle speed can be conveniently used in the follow-up process.

Step S5313, determining whether the predicted value of the inter-vehicle distance between the vehicles in the multiple lanes is greater than a preset reference value of the inter-vehicle distance between the vehicles in the multiple lanes. If not, execute step S5314; if so, step S5315 is performed.

The multi-lane vehicle separation distance reference value refers to a maximum distance value that two vehicles driving out of a current road section with multiple lanes cannot overtake, and is obtained by inquiring a database in which the multi-lane vehicle separation distance reference value is stored.

Whether the predicted value of the distance between two vehicles when the current road section of the multiple lanes is driven out adjacently is judged by judging whether the predicted value of the distance between the two vehicles when the current road section of the multiple lanes is driven out adjacently is larger than the maximum distance value, which cannot be overtaken, between the two vehicles when the current road section of the multiple lanes is driven out adjacently.

And step S5314, taking the initial predicted value of the multilane vehicle speed as the initial predicted value of the road vehicle speed.

When the predicted value of the multi-lane vehicle separation distance is not larger than the preset multi-lane vehicle separation distance reference value, the predicted value of the distance between two vehicles when the two vehicles adjacently drive out the current road section of the multiple lanes at the moment is not larger than the maximum distance value that the two vehicles adjacently drive out the current road section of the multiple lanes and can not overtake, and therefore the vehicles do not overtake at the moment, and the initial predicted value of the multi-lane vehicle speed is used as the initial predicted value of the road section vehicle speed.

And S5315, analyzing and acquiring the overtaking influence value of the multilane vehicle according to the judgment result of whether the initial predicted value of the multilane vehicle speed is greater than the preset road section overtaking vehicle speed reference value.

The road section overtaking speed reference value is the minimum speed required by the vehicle to overtake when the vehicle is driven in the current road section, and is inquired and obtained from a database in which the road section overtaking speed reference value is stored.

The influence value of the overtaking of the multi-lane vehicle is the influence value of the vehicle to the predicted vehicle speed value after the vehicle overtakes in the current road section with multiple lanes.

When the predicted value of the interval distance between the vehicles on the multiple lanes is larger than the preset reference value of the interval distance between the vehicles on the multiple lanes, the predicted value of the distance between the two vehicles on the current road section of the multiple lanes is larger than the maximum distance value of the distance between the two vehicles on the current road section of the multiple lanes, which cannot overtake, so that the vehicles overtake at the moment can be shown, and therefore, the influence value of overtaking of the vehicles on the multiple lanes can be obtained through the judgment result of whether the initial predicted value of the vehicle speed of the multiple lanes is larger than the preset reference value of the overtaking vehicle speed of the road section, and the influence value of overtaking of the vehicles on the multiple lanes can be conveniently used subsequently.

And S5316, analyzing and obtaining the multilane vehicle speed overtaking predicted value corresponding to the multilane vehicle speed initial predicted value and the multilane vehicle overtaking influence value according to the corresponding relation of the multilane vehicle speed initial predicted value, the multilane vehicle overtaking influence value and the preset multilane vehicle speed overtaking predicted value, and taking the multilane vehicle speed overtaking predicted value as the road section vehicle speed initial predicted value.

The predicted value of the multi-lane vehicle speed passing is an initial predicted value of a vehicle speed after a rear-exit vehicle of two vehicles which exit a current road section with multiple lanes adjacently is influenced by the overspeed. And inquiring and acquiring the predicted value of the multilane vehicle speed overtaking from a database in which the predicted value of the multilane vehicle speed overtaking is stored.

The multilane vehicle speed overtaking predicted value is obtained through analysis of the multilane vehicle speed initial predicted value and the multilane vehicle overtaking influence value, and the multilane vehicle speed overtaking predicted value is used as the road section vehicle speed initial predicted value, so that the accuracy of the obtained road section vehicle speed initial predicted value is improved, and the purpose of reducing the probability of traffic jam under the condition that the traffic flow of the vehicle running in a traffic route is increased is finally achieved.

In step S5315 shown in fig. 5, in order to further ensure the reasonableness of the multi-lane vehicle overtaking influence value, it is necessary to further perform a separate analysis and calculation on the multi-lane vehicle overtaking influence value, which will be described in detail with reference to the step shown in fig. 6.

Referring to fig. 6, according to a judgment result of whether the initial predicted value of the multilane vehicle speed is greater than the preset road section overtaking vehicle speed reference value, analyzing and obtaining the multilane vehicle overtaking influence value comprises the following steps:

and step S53151, judging 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, go to step S53152; if not, go to step S53154.

The method comprises the steps of judging whether an initial predicted value of the multi-lane vehicle speed is larger than a preset road section overtaking vehicle speed reference value or not, and judging whether the initial predicted value of the vehicle speed of a rear-out vehicle in two vehicles which are adjacent to a current road section with multiple lanes is larger than a minimum speed value required by overtaking when the vehicle is driven in the current road section or not.

And S53152, analyzing and calculating the difference between the initial predicted value of the multi-lane vehicle speed and the reference value of the road section overtaking vehicle speed according to the initial predicted value of the multi-lane vehicle speed and the reference value of the road section overtaking vehicle speed, and taking the difference as the difference of the road section overtaking vehicle speed.

When the initial predicted value of the multi-lane vehicle speed is greater than the preset road section overtaking vehicle speed reference value, the initial predicted value of the vehicle speed of a vehicle which is driven out of two vehicles on the current road section with a plurality of lanes at the moment is greater than the minimum speed required for overtaking the vehicle when the vehicle drives in the current road section, and the overtaking phenomenon of the vehicle at the moment is further explained, so that the difference between the initial predicted value of the multi-lane vehicle speed and the road section overtaking vehicle speed reference value is analyzed and calculated through the initial predicted value of the multi-lane vehicle speed and the road section overtaking vehicle speed reference value, and the difference between the initial predicted value of the multi-lane vehicle speed and the road section overtaking vehicle speed reference value is used as the road section overtaking vehicle speed difference value, so that the subsequent use of the road section overtaking vehicle speed difference value is facilitated.

Step S53153, analyzing and obtaining a road section overtaking influence value corresponding to the road section overtaking speed difference value according to the corresponding relation between the road section overtaking speed difference value and a preset road section overtaking influence value, and taking the road section overtaking influence value as a multilane vehicle overtaking influence value.

The road section overtaking influence value refers to an influence value on the predicted vehicle speed after the overtaking phenomenon of the vehicle running in the current road section occurs, and the road section overtaking influence value is obtained by inquiring a database in which the road section overtaking influence value is stored.

The road section overtaking influence value is obtained through road section overtaking speed difference analysis, and the road section overtaking influence value is used as the multilane vehicle overtaking influence value, so that the accuracy of the obtained multilane vehicle overtaking influence value is improved, and the aim of reducing the probability of traffic jam problem under the condition that the traffic flow running in a traffic route is increased is finally fulfilled.

And step S53154, outputting a preset road section non-overtaking influence value, and taking the road section non-overtaking influence value as a multi-lane vehicle overtaking influence value.

When the initial predicted value of the multi-lane vehicle speed is not greater than the preset reference value of the road overtaking vehicle speed, the initial predicted value of the vehicle speed of the vehicle which is driven out of two vehicles on the current road section with a plurality of lanes and is driven out at the moment is not greater than the minimum speed required by the vehicle to drive to overtake in the current road section, and the phenomenon that the vehicle overtake is not generated at the moment, so that the preset road section non-overtaking influence value is output, and the road section non-overtaking influence value is used as the multi-lane vehicle overtaking influence value, the accuracy of the obtained multi-lane vehicle overtaking influence value is improved, and the aim of reducing the probability of traffic jam problem under the condition that the vehicle flow which is driven in a traffic line is increased is finally achieved.

In step S550 shown in fig. 2, in order to further ensure the reasonableness of the excess green wave signal control scheme, a further independent analysis and calculation needs to be performed on the excess green wave signal control scheme, which is specifically described in detail by the step shown in fig. 7.

Referring to fig. 7, according to the corresponding relationship between the difference of the speed of the road section and the preset control scheme of the excess green wave signal, analyzing and acquiring the control scheme of the excess green wave signal corresponding to the difference of the speed of the road section includes the following steps:

step S551, analyzing and acquiring a green wave speed adjustment value corresponding to the road section vehicle speed difference value according to the corresponding relation between the road section vehicle speed difference value and the preset green wave speed adjustment value.

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 inquiring from a database in which the green wave speed adjustment value is stored.

The green wave speed adjustment value is obtained through the analysis of the difference value of the speeds of the road sections, so that the green wave speed adjustment value can be conveniently used subsequently.

Step S552, analyzing and calculating a sum of the green wave speed adjustment value and a preset green wave speed reference value as a final green wave speed value according to the green wave speed adjustment value and the preset green wave speed reference value.

The green wave speed reference value is a speed value output by a green wave signal when the number of vehicles actually running on the current road section does not exceed the road section reference total number of vehicles, and is inquired and acquired from a database in which the green wave speed reference value is stored.

And analyzing and calculating the sum of the green wave speed adjusting value and the preset green wave speed reference value through the green wave speed adjusting value and the preset green wave speed reference value, and taking the sum of the green wave speed adjusting value and the preset green wave speed reference value as a green wave speed final value, so that the green wave speed final value can be conveniently used subsequently.

Step S553, analyzing and obtaining the excess green wave signal control scheme corresponding to the final green wave velocity value according to the corresponding relationship between the final green wave velocity value and the preset excess green wave signal control scheme.

The excess green wave signal control scheme is obtained through green wave speed final value analysis, so that the accuracy of the obtained excess green wave signal control scheme is improved, and the probability of traffic jam problem under the condition that the traffic flow running in a traffic line is increased is reduced.

Referring to fig. 8, based on the same inventive concept, an embodiment of the present invention provides a dynamic green wave signal control system, including:

the acquisition module 1 is used for acquiring the actual total number of vehicles on the road section, the number of lanes on the road section, the length value of the road section, the actual time interval period of vehicle leaving on the road section and the type information of the vehicle on the road section;

a memory 2 for storing a program of a dynamic green wave signal control method as in any one of fig. 1 to 7;

the processor 3, the program in the memory can be loaded and executed by the processor and implement a dynamic green wave signal control method as shown in any one of fig. 1 to 7.

Based on the same inventive concept, an embodiment of the present invention provides a dynamic green wave signal control apparatus, including a memory and a processor, where the memory stores thereon a computer program that can be loaded by the processor and execute a dynamic green wave signal control method as shown in any one of fig. 1 to 7.

It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.

An embodiment of the present invention provides a computer storage medium storing a computer program that can be loaded by a processor and execute a dynamic green wave signal control method as shown in any one of fig. 1 to 7.

Computer storage media include, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The foregoing is a preferred embodiment of the present application and is not intended to limit the scope of the application in any way, and any features disclosed in this specification (including the abstract and drawings) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.

Claims

1. A dynamic green wave signal control method, comprising:

judging whether the actual total number of vehicles on the road section is larger than the reference total number of vehicles on the road section;

if not, executing a preset conventional green wave signal control scheme.

2. The dynamic green wave signal control method according to claim 1, wherein analyzing and obtaining the excess green wave signal control scheme corresponding to the excess vehicles on the road segment according to the corresponding relationship between the excess vehicles on the road segment and the preset excess green wave signal control scheme comprises:

analyzing and acquiring a predicted value of the distance between the vehicles at the road section corresponding to the number of the excess vehicles at the road section, the number of the lanes at the road section and the length value of the road section according to the corresponding relation between the number of the excess vehicles at the road section, the number of the lanes at the road section and the preset predicted value of the distance between the vehicles at the road section;

3. The method as claimed in claim 2, wherein analyzing and obtaining the predicted distance between vehicles on the road section corresponding to the number of vehicles on the road section, the number of lanes on the road section, and the length of road section according to the corresponding relationship between the number of vehicles on the road section, the number of lanes on the road section, and the predicted distance between vehicles on the road section according to the preset predicted distance between vehicles on the road section comprises:

judging whether the number of lanes in the road section is more than one;

analyzing and acquiring a predicted multi-lane vehicle interval distance value corresponding to the multi-lane vehicle interval distance influence value and the predicted single-lane vehicle interval distance value according to the corresponding relation between the multi-lane vehicle interval distance influence value, the predicted single-lane vehicle interval distance value and the preset predicted multi-lane vehicle interval distance value, and taking the predicted multi-lane vehicle interval distance value as a predicted road section vehicle interval distance value;

4. The method according to claim 3, wherein analyzing and obtaining the final predicted value of the road speed corresponding to the predicted value of the road vehicle interval distance and the actual time interval between the road vehicle leaving and the preset final predicted value of the road speed according to the corresponding relationship between the predicted value of the road vehicle interval distance and the actual time interval between the road vehicle leaving and the preset final predicted value of the road speed comprises:

analyzing and acquiring a road section vehicle interval distance predicted value and a road section vehicle speed initial predicted value corresponding to the road section vehicle interval distance predicted value and the road section vehicle-out actual interval time period according to the corresponding relation of the road section vehicle interval distance predicted value, the road section vehicle-out actual interval time period and a preset road section vehicle speed initial predicted value;

acquiring road section vehicle type category information of a current road section;

5. The dynamic green wave signal control method according to claim 4, wherein analyzing and obtaining the initial predicted value of the vehicle speed of the road section corresponding to the predicted value of the vehicle interval distance of the road section and the actual time interval between vehicle leaving of the road section according to the corresponding relationship between the predicted value of the vehicle interval distance of the road section, the actual time interval between vehicle leaving of the road section and the preset initial predicted value of the vehicle speed of the road section comprises:

when the predicted distance between vehicles at the road section is the predicted distance between vehicles at multiple lanes, analyzing and obtaining the initial predicted value of the vehicle speed at multiple lanes corresponding to the predicted distance between vehicles at multiple lanes and the actual time interval between vehicles at the road section;

judging whether the predicted value of the spacing distance of the vehicles in the multiple lanes is larger than a preset reference value of the spacing distance of the vehicles in the multiple lanes;

if not, taking the initial predicted value of the multi-lane vehicle speed as the initial predicted value of the road vehicle speed;

if so, analyzing and obtaining the overtaking influence value of the multi-lane vehicle according to the judgment result of whether the initial predicted value of the multi-lane vehicle speed is greater than the preset road overtaking reference value;

and analyzing and obtaining the multi-lane vehicle overtaking predicted value corresponding to the multi-lane vehicle speed initial predicted value and the multi-lane vehicle overtaking influence value according to the corresponding relation between the multi-lane vehicle speed initial predicted value, the multi-lane vehicle overtaking influence value and the preset multi-lane vehicle overtaking predicted value, and taking the multi-lane vehicle overtaking predicted value as the road section vehicle speed initial predicted value.

6. The dynamic green wave signal control method according to claim 5, wherein analyzing and obtaining the overtaking influence value of the multilane vehicle according to the judgment result of whether the initial predicted value of the multilane vehicle speed is greater than the preset road overtaking reference value comprises:

judging whether the initial predicted value of the multilane vehicle speed is greater than a preset road section overtaking vehicle speed reference value or not;

analyzing and acquiring a road section overtaking influence value corresponding to the road section overtaking speed difference according to the corresponding relation between the road section overtaking speed difference and a preset road section overtaking influence value, and taking the road section overtaking influence value as a multilane vehicle overtaking influence value;

7. The dynamic green wave signal control method according to claim 2, wherein analyzing and acquiring the excess green wave signal control scheme corresponding to 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 comprises:

analyzing and calculating a sum value between the green wave speed adjusting value and a preset green wave speed reference value according to the green wave speed adjusting value and the preset green wave speed reference value, and taking the sum value as a green wave speed final value;

8. A dynamic green wave signal control system, comprising:

the acquisition module (1) is used for acquiring the actual total number of vehicles on the road section, the number of lanes on the road section, the length value of the road section, the actual time interval period of the vehicle leaving on the road section and the type information of the 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 7;

a processor (3), a program in a memory capable of being loaded and executed by the processor and implementing a method of dynamic green wave signal control as claimed in any one of claims 1 to 7.

9. A dynamic green wave signal control device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes a dynamic green wave signal control method according to any one of claims 1 to 7.

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