Data processing system for intelligent traffic light

Abstract

The invention discloses a data processing system for an intelligent traffic light, and relates to the technical field of data processing. The system is connected with an indicator light data acquisition module, a traffic data platform, a data processing module and an automatic adaptation module. The indicator light data acquisition module is used for acquiring a red light passing state data set, constructing an intersection traffic indicator light state model according to the red light passing state data set, and acquiring corresponding intersection data according to the intersection traffic indicator light state model; the traffic data platform is in wireless communication connection with each traffic system and is used for collecting traffic data corresponding to each traffic system; the data processing module is used for modeling according to the intersection data and the traffic data to obtain an indicator light state-intersection model; the automatic adaptation module is used for adjusting the traffic indicator light according to the indicator light state-intersection model; and the traffic intersection vehicle passing rate is effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a data processing system for smart traffic light indicators. Background Art

[0002] Traffic lights are generally divided into motor vehicle lights, non-motor vehicle lights, pedestrian crossing lights, direction indicators (arrow lights), lane lights, flashing warning lights, and road and railway intersection lights. However, no matter what type of traffic light is used, it is normally composed of a combination of red, yellow, and green colors. However, this combination is not arbitrary; there are certain fixed combinations and meanings to ensure the normal operation of road traffic. Nowadays, with the increase in road intersections, traffic lights, usually referring to red and green lights, are also increasing at any time. However, traffic lights with signal notification algorithms cannot adapt to dynamic traffic needs. They can only achieve direction control of "cars look at the lights" and "lights look at the cars". They cannot perceive road conditions in real time, resulting in an inability to automatically adapt to dynamic traffic needs during congestion during peak hours; secondly, insufficient coordinated control between different intersections leads to limitations in data processing and insufficient signal control; therefore, in order to solve the above technical problems, the present invention provides a data processing system for a smart traffic light. Summary of the Invention

[0003] In order to solve the above technical problems, the present invention provides a data processing system for smart traffic lights; The object of the present invention can be achieved by the following technical solutions: a data processing system for intelligent traffic lights, comprising a control center, wherein the control center is connected to a light data acquisition module, a traffic data platform, a data processing module, and an automatic adaptation module; The indicator light data acquisition module is used to obtain a red light traffic state data set, build a traffic light state model for the intersection based on the red light traffic state data set, and collect corresponding intersection data based on the traffic light state model for the intersection; The traffic data platform is connected to each traffic system via wireless communication to collect traffic data corresponding to each traffic system; The data processing module is used to perform modeling based on intersection data and traffic data to obtain a light status-intersection model; The automatic adaptation module is used to adjust the traffic light according to the light state-intersection model.

[0004] Furthermore, the process of obtaining the red light traffic status dataset includes: Obtain each traffic intersection according to the navigation system, obtain all traffic lights corresponding to each traffic intersection, and obtain indicator light data corresponding to the traffic lights; the indicator light data includes red light traffic status and switching cycle; integrate the red light traffic status and switching cycle data to generate a red light traffic status data set.

[0005] Furthermore, the process of constructing the intersection traffic light state model includes: The geographic location corresponding to each traffic intersection is obtained through the navigation system and marked as the central geographic location. A corresponding three-dimensional spatial model is constructed based on the central geographic location. All three-dimensional spatial models are connected to generate a three-dimensional spatial model of the traffic intersection. The spatial position coordinates of all traffic lights corresponding to each traffic intersection are obtained based on the three-dimensional spatial model of the traffic intersection. The data is then associated with the red light traffic status dataset to generate a traffic light dataset. The main roads connected by the traffic lights are also obtained. The main road generated road trunk line and traffic light dataset are connected with the spatial position coordinates corresponding to the traffic intersection three-dimensional spatial model to generate the intersection traffic light status model.

[0006] Furthermore, the process of collecting corresponding intersection data according to the intersection traffic light state model includes: The vehicle types corresponding to the road trunk lines are collected in real time by traffic monitoring equipment; the vehicle types include small vehicles, medium vehicles and large vehicles; Obtain the maximum speed corresponding to each road artery, obtain the maximum travel distance of the corresponding road artery in real time based on the switching cycle, and then obtain the straight-line distance between any two spatial position coordinates of the traffic intersection, marking it as the intersection travel distance; based on the maximum travel distance and the intersection travel distance, obtain the length of the waiting queue for each road artery corresponding to the red light traffic state, and then obtain traffic data corresponding to the intersection travel distance; the traffic data includes the number of passing vehicles and the travel speed; The intersection data includes vehicle type and communication data.

[0007] Furthermore, the process of wirelessly connecting the traffic data platform to each traffic system and collecting traffic data corresponding to each traffic system includes: The traffic system includes a climate system and a navigation system; obtaining a current navigation path corresponding to each vehicle based on the navigation system, and obtaining a current vehicle driving state based on the current navigation path, wherein the vehicle driving state includes going straight, turning left, turning right, and turning around; obtaining climate data based on the climate system, wherein the climate data includes rainfall, temperature, and visibility; The traffic data includes current vehicle driving status and climate data.

[0008] Furthermore, the process of the data processing module performing modeling based on the intersection data and traffic data to obtain the indicator light state-intersection model includes: The traffic light dataset corresponding to the current vehicle driving status, vehicle type and speed of all vehicles in each waiting queue length are connected and integrated to generate a current vehicle database; Dispatching the current vehicle database to correspond to the current vehicle driving state of the indicator light state dataset to obtain the queue length corresponding to the total number of waiting states for straight, right turn, left turn, and U-turn, marked as D, R, L, and U respectively; obtaining the directional flow of each current vehicle traffic state based on the total number of waiting states; That is, the specific formula is: ; ; ; in, 、 as well as They represent the flow rates of going straight, turning right, and turning left in the switching period respectively; a=b1+b2+b3+b4; b1, b2, b3, and b4 represent the corresponding evaluation numbers of going straight, turning right, turning left, and turning around without using the navigation system, respectively; By formula Get the vehicle type distribution rate corresponding to the queue length to be passed in the switching period t ; Among them, w1, w2 and w3 represent the traffic efficiency coefficients of small vehicles, medium vehicles and large vehicles respectively; x1, x2 and x3 represent the number of small vehicles, medium vehicles and large vehicles respectively; and the average traffic speed is obtained according to the number of passing vehicles and the vehicle speed, which is recorded as v t ; Set the environmental data range threshold corresponding to each environmental data and the environmental impact coefficient corresponding to the environmental data range threshold; match the environmental data corresponding to the indicator light status data set with the corresponding environmental data range threshold to obtain the corresponding environmental impact coefficient, and then obtain the product of the corresponding environmental impact coefficients, which is marked as the environmental impact rate; A traffic light status-intersection model is constructed based on directional flow, vehicle type distribution rate, average traffic speed and environmental impact rate.

[0009] Furthermore, the indicator light status-intersection model formula is constructed as follows: ; Among them, k represents the direction corresponding to going straight, turning right, and turning left, which is recorded as 、 、 ; It is expressed as the green light duration corresponding to the length of the queue waiting to pass in the corresponding direction; Indicated as the corresponding red light duration; 、 、 as well as are respectively expressed as the weight coefficients corresponding to directional flow, vehicle type distribution rate, environmental impact rate and average speed, and .

[0010] Furthermore, the process of the automatic adaptation module adjusting the traffic light according to the light state-intersection model includes: According to the indicator light state-intersection model, the green light duration corresponding to the straight, right turn and left turn of the traffic light dataset corresponding to the traffic intersection is obtained in real time, and then the maximum green light duration corresponding to the direction is obtained, marked as the green light time to be adjusted, and the green light time to be adjusted is sent to the traffic lights in the corresponding direction and the opposite direction for adjustment.

[0011] Compared with the prior art, the beneficial effects of the present invention are: obtaining a red light traffic status data set through the indicator light data acquisition module, constructing a traffic indicator light state model at the intersection based on the red light traffic status data set, and collecting corresponding intersection data based on the traffic indicator light state model; utilizing wireless communication of the traffic data platform to connect various traffic systems and collect traffic data corresponding to each traffic system; then, modeling is performed based on the intersection data and traffic data through the data processing module to obtain a indicator light state-intersection model; and the automatic adaptation module is used again to adjust the traffic indicator light based on the indicator light state-intersection model; thereby effectively improving the vehicle passing rate at the traffic intersection. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction to the drawings required for use in the embodiments will be given below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0013] Figure 1 This is a system principle diagram of the present invention.

[0014] Figure 2 This is a table of environmental data range thresholds and environmental impact coefficients corresponding to rainfall.

[0015] Figure 3 This is a table of environmental data range thresholds and environmental impact coefficients corresponding to temperatures.

[0016] Figure 4 This is a table of environmental data range thresholds and environmental impact coefficients corresponding to visibility. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0018] like Figure 1 As shown, a data processing system for intelligent traffic lights includes a control center, the control center is connected to a light data acquisition module, a traffic data platform, a data processing module and an automatic adaptation module; The indicator light data acquisition module is used to build a traffic light state model for the intersection and collect corresponding intersection data according to the traffic light state model; The traffic data platform is connected to each traffic system via wireless communication to collect traffic data corresponding to each traffic system; The data processing module is used to perform modeling based on intersection data and traffic data to obtain a light status-intersection model; The automatic adaptation module is used to adjust the traffic light according to the light state-intersection model.

[0019] It should be further explained that the process of constructing the intersection traffic light state model includes: Obtaining each traffic intersection according to the navigation system, and obtaining all traffic lights corresponding to each traffic intersection, and obtaining indicator light data corresponding to the traffic lights; the indicator light data includes red light traffic status and switching cycle; integrating the red light traffic status and switching cycle data to generate a red light traffic status dataset, and obtaining the main road connected by the traffic lights; In the above embodiment, it should be further explained that the navigation system includes but is not limited to AutoNavi Navigation, Baidu Navigation, etc.; the traffic indicator light generally refers to a traffic light, but not only includes a traffic light but also includes a direction indicator light (arrow signal light), a lane signal light, a flashing warning signal light, and a road and railway level crossing signal light; further, the switching period is used to represent the remaining switching time corresponding to the indicator light state. For example, if the indicator light state is red and the corresponding remaining switching time is 3 seconds, then the corresponding switching period is 3 seconds; The geographic location corresponding to each traffic intersection is obtained through the navigation system and marked as the central geographic location. A corresponding three-dimensional spatial model is constructed based on the central geographic location. All three-dimensional spatial models are connected to generate a three-dimensional spatial model of the traffic intersection. The spatial position coordinates of all traffic lights corresponding to each traffic intersection are obtained based on the three-dimensional spatial model of the traffic intersection. The data is then associated with the red light traffic status dataset to generate a traffic light dataset, which is recorded as (spatial position coordinates, red light traffic status, switching period), expressed as (r, A, t). The main road generated road trunk line and traffic light dataset are connected with the spatial position coordinates corresponding to the traffic intersection three-dimensional spatial model to generate the intersection traffic light status model.

[0020] It should be further explained that the corresponding intersection data is collected according to the intersection traffic light state model; including: The vehicle types corresponding to the road trunk lines are collected in real time by traffic monitoring equipment; the vehicle types include small vehicles, medium vehicles and large vehicles; It should be further explained that the traffic monitoring equipment includes but is not limited to intersection cameras, sensors, etc. Obtain the maximum speed corresponding to each road artery, obtain the maximum travel distance of the corresponding road artery in real time based on the switching cycle, and then obtain the straight-line distance between any two spatial position coordinates of the traffic intersection, marking it as the intersection travel distance; based on the maximum travel distance and the intersection travel distance, obtain the length of the waiting queue for each road artery corresponding to the red light traffic state, and then obtain traffic data corresponding to the intersection travel distance; the traffic data includes the number of passing vehicles and the travel speed; In the above embodiment, it needs to be further explained that, under normal circumstances, the traffic lights at a traffic intersection are usually two corresponding ones, and therefore the same indicator light state flashes at the same time.

[0021] It should be further explained that the traffic data platform wirelessly connects to various traffic systems and collects traffic data corresponding to each traffic system; including: The traffic system includes a climate system, a navigation system, and a traffic complaint system; the current navigation path corresponding to each vehicle is obtained from the navigation system, and the current vehicle driving status is obtained based on the current navigation path, wherein the vehicle driving status includes going straight, turning left, turning right, and turning around; the traffic complaint system obtains a complaint database, and retrieves complaint data corresponding to congestion in the complaint database, wherein the complaint data includes complaint time and complaint location; the climate data includes rainfall, temperature, and visibility; In the above embodiment, it needs to be further explained that the current vehicle driving status is obtained by obtaining the current navigation path. Regardless of whether the current navigation route reminds the current status to be a right turn at the upper left or a right turn at the lower left, as long as the current navigation route reminder contains "right", the corresponding current vehicle driving status will be marked as a right turn. Similarly, it will be marked as a left turn.

[0022] It should be further explained that the data processing module performs modeling based on intersection data and traffic data to obtain a light status-intersection model; including: The traffic light dataset corresponding to the current vehicle driving status, vehicle type and speed of all vehicles in each waiting queue length are connected and integrated to generate a current vehicle database; Dispatching the current vehicle database to correspond to the current vehicle driving state of the indicator light state dataset to obtain the queue length corresponding to the total number of waiting states for straight, right turn, left turn, and U-turn, marked as D, R, L, and U respectively; obtaining the directional flow of each current vehicle traffic state based on the total number of waiting states; That is, the specific formula is: ; ; ; in, 、 as well as They represent the flow rates of going straight, turning right, and turning left in the switching period respectively; a=b1+b2+b3+b4; b1, b2, b3, and b4 represent the corresponding evaluation numbers of going straight, turning right, turning left, and turning around without using the navigation system, respectively; By formula Get the vehicle type distribution rate corresponding to the queue length to be passed in the switching period t ; Among them, w1, w2 and w3 represent the traffic efficiency coefficients of small vehicles, medium vehicles and large vehicles respectively; x1, x2 and x3 represent the number of small vehicles, medium vehicles and large vehicles respectively; and the average traffic speed is obtained according to the number of passing vehicles and the vehicle speed, which is recorded as v t ; Set the environmental data range threshold corresponding to each environmental data and the environmental impact coefficient corresponding to the environmental data range threshold; Figure 2 、 Figure 3 and Figure 4 As shown; The environmental data corresponding to the indicator light status data set is compared with Figure 2 、 Figure 3 and Figure 4The corresponding environmental data range threshold is matched to obtain the corresponding environmental impact coefficient, and then the product of the corresponding environmental impact coefficient is obtained, which is marked as the environmental impact rate and recorded as G t ; Construct a traffic light status-intersection model based on directional flow, vehicle type distribution rate, average speed, and environmental impact rate: The construction formula is: ; Among them, k represents the direction corresponding to going straight, turning right, and turning left, which is recorded as 、 、 ; It is expressed as the green light duration corresponding to the length of the queue waiting to pass in the corresponding direction; Indicated as the corresponding red light duration; 、 、 as well as are respectively expressed as the weight coefficients corresponding to directional flow, vehicle type distribution rate, environmental impact rate and average speed, and ; In the above embodiment, it needs to be further explained that, during the switching cycle, the current vehicle database is acquired once every second to improve the accuracy of the green light duration.

[0023] It should be further explained that the automatic adaptation module adjusts the traffic light according to the light state-intersection model; including: According to the indicator light state-intersection model, the green light duration corresponding to the straight, right turn and left turn of the traffic light dataset corresponding to the traffic intersection is obtained in real time, and then the maximum green light duration corresponding to the direction is obtained, marked as the green light time to be adjusted, and the green light time to be adjusted is sent to the traffic lights in the corresponding direction and the opposite direction for adjustment.

[0024] It should be further explained that, under normal circumstances, traffic intersections are usually crossroads, and usually two traffic lights on the opposite side, that is, red and green lights, switch at the same time. Similarly, the green light duration to be adjusted is sent to the traffic lights in the corresponding direction and the opposite direction for simultaneous adjustment; it should be further explained that the red light duration of traffic lights in non-opposite directions is also adjusted simultaneously according to the green light duration to be adjusted; this improves the pass rate while preventing traffic accidents.

[0025] Working principle: The red light traffic status dataset is obtained through the indicator light data acquisition module, and the intersection traffic light status model is constructed based on the red light traffic status dataset. The corresponding intersection data is collected based on the intersection traffic light status model; the traffic data platform is used to wirelessly connect various traffic systems to collect traffic data corresponding to each traffic system; then, the data processing module is used to model the intersection data and traffic data to obtain the indicator light status-intersection model; the automatic adaptation module is used again to adjust the traffic light according to the indicator light status-intersection model, effectively improving the vehicle passing rate at the traffic intersection.

[0026] The features and exemplary embodiments of various aspects of the present application are described in detail above. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail in combination with the drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The above description of the embodiments is merely to provide a better understanding of the present application by showing examples of the present application.

[0027] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A data processing system for intelligent traffic lights, characterized in that: It includes a control center, which is connected to a light data acquisition module, a traffic data platform, a data processing module and an automatic adaptation module; The indicator light data acquisition module is used to obtain a red light traffic state data set, build a traffic light state model for the intersection based on the red light traffic state data set, and collect corresponding intersection data based on the traffic light state model for the intersection; The traffic data platform is connected to each traffic system via wireless communication to collect traffic data corresponding to each traffic system; The data processing module is used to perform modeling based on intersection data and traffic data to obtain a light status-intersection model; The automatic adaptation module is used to adjust the traffic light according to the light state-intersection model.

2. The intelligent traffic light data processing system according to claim 1, characterized in that: The process of obtaining the red light traffic status dataset includes: Obtain each traffic intersection according to the navigation system, obtain all traffic lights corresponding to each traffic intersection, and obtain indicator light data corresponding to the traffic lights; the indicator light data includes red light traffic status and switching cycle; integrate the red light traffic status and switching cycle data to generate a red light traffic status data set.

3. The intelligent traffic light data processing system according to claim 1, characterized in that: The process of constructing the intersection traffic light state model includes: The geographic location corresponding to each traffic intersection is obtained through the navigation system and marked as the central geographic location. A corresponding three-dimensional spatial model is constructed based on the central geographic location. All three-dimensional spatial models are connected to generate a three-dimensional spatial model of the traffic intersection. The spatial position coordinates of all traffic lights corresponding to each traffic intersection are obtained based on the three-dimensional spatial model of the traffic intersection. The data is then associated with the red light traffic status dataset to generate a traffic light dataset. The main roads connected by the traffic lights are also obtained. The main road generated road trunk line and traffic light dataset are connected with the spatial position coordinates corresponding to the traffic intersection three-dimensional spatial model to generate the intersection traffic light status model.

4. The intelligent traffic light data processing system according to claim 1, characterized in that: The process of collecting corresponding intersection data based on the intersection traffic light status model includes: Use traffic monitoring equipment to collect vehicle types corresponding to road trunk lines in real time; Obtain the maximum speed corresponding to each road artery, obtain the maximum travel distance of the corresponding road artery in real time based on the switching cycle, and then obtain the straight-line distance between any two spatial position coordinates of the traffic intersection, marking it as the intersection travel distance; based on the maximum travel distance and the intersection travel distance, obtain the length of the waiting queue for each road artery corresponding to the red light traffic state, and then obtain traffic data corresponding to the intersection travel distance; the traffic data includes the number of passing vehicles and the travel speed; The intersection data includes vehicle type and communication data.

5. The intelligent traffic light data processing system according to claim 1, characterized in that: The process of wirelessly connecting the traffic data platform to each traffic system and collecting traffic data corresponding to each traffic system includes: The traffic system includes a climate system and a navigation system; obtaining a current navigation path corresponding to each vehicle based on the navigation system, and obtaining a current vehicle driving state based on the current navigation path, wherein the vehicle driving state includes going straight, turning left, turning right, and turning around; obtaining climate data based on the climate system, wherein the climate data includes rainfall, temperature, and visibility; The traffic data includes current vehicle driving status and climate data.

6. The intelligent traffic light data processing system according to claim 1, characterized in that: The process of the data processing module modeling and obtaining the indicator light state-intersection model based on the intersection data and traffic data includes: The traffic light dataset corresponding to the current vehicle driving status, vehicle type and speed of all vehicles in each queue length to be passed is connected and integrated to generate a current vehicle database; Dispatching the current vehicle database to correspond to the current vehicle driving state of the indicator light state data set to obtain the total number of waiting states for straight, right turn, left turn, and U-turn corresponding to the waiting queue length. Based on the total number of waiting states, obtain the directional flow of each current vehicle traffic state; obtain the vehicle type distribution rate corresponding to the waiting queue length in the switching cycle; Set the environmental data range threshold corresponding to each environmental data and the environmental impact coefficient corresponding to the environmental data range threshold; match the environmental data corresponding to the indicator light status data set with the corresponding environmental data range threshold to obtain the corresponding environmental impact coefficient, and then obtain the product of the corresponding environmental impact coefficients, which is marked as the environmental impact rate; A traffic light status-intersection model is constructed based on directional flow, vehicle type distribution rate, average traffic speed and environmental impact rate.

7. The intelligent traffic light data processing system according to claim 1, characterized in that: The formula for constructing the indicator light status-intersection model is: Where k represents the direction of going straight, turning right, and turning left, which are denoted as D′, R′, and L′; σ k It is expressed as the green light duration corresponding to the queue length in the corresponding direction; δ is expressed as the corresponding red light duration; α, β, γ and ε are the weight coefficients corresponding to the directional flow, vehicle type distribution rate, environmental impact rate and average speed, respectively, and α+β+γ+ε=1.

8. The intelligent traffic light data processing system according to claim 1, characterized in that: The process of the automatic adaptation module adjusting the traffic light according to the light state-intersection model includes: According to the indicator light state-intersection model, the green light duration corresponding to the straight, right turn and left turn of the traffic light dataset corresponding to the traffic intersection is obtained in real time, and then the maximum green light duration corresponding to the direction is obtained, marked as the green light time to be adjusted, and the green light time to be adjusted is sent to the traffic lights in the corresponding direction and the opposite direction for adjustment.

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