Intelligent traffic signal lamp control method based on vehicle flow statistical data

By integrating vehicle flow sensors in the traffic signal control system, collecting waiting data on the number of vehicles and automatically adjusting the release time, the problem of inefficient control of existing traffic lights is solved, and more efficient vehicle release and traffic congestion is achieved.

CN119626007AInactive Publication Date: 2025-03-14SICHUAN RONGHAI ZHICHENG TECH GRP CO LTD
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Patent Information

Application Number
CN202411832033.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-12
Publication Date
2025-03-14
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing traffic light control is basically a fixed-time release mode, which leads to inefficient release efficiency and relatively long release cycles, which often causes unnecessary congestion.

Method used

A smart traffic light control method based on vehicle flow statistics is adopted. By setting up a traffic signal control system at an intersection, including vehicle flow sensors and traffic lights, the vehicle flow sensor is used to collect the waiting vehicle number data of each branch, and the release time of the traffic light is automatically adjusted according to the data size.

Benefits of technology

It improves vehicle release efficiency, shortens the release cycle, and minimizes road traffic congestion.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an intelligent traffic signal lamp control method based on vehicle flow statistical data, and belongs to the technical field of traffic signal lamps. Data of a vehicle flow sensor is integrated into a traffic signal control system, and waiting vehicle number data of each branch is acquired through the vehicle flow sensor; according to the size of the data, the traffic signal control system automatically calls the preset release time, so that the vehicle release efficiency is greatly improved, the release period is shortened, and the road traffic jam condition is reduced to the maximum extent.
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Description

Technical Field

[0001] The present invention belongs to the technical field of traffic signal lights, and in particular relates to a smart traffic signal light control method based on vehicle flow statistical data. Background Art

[0002] Traffic lights are lights that direct traffic, usually consisting of red, green, and yellow lights. A red light means no passage, a green light means passage is allowed, and a yellow light means a warning.

[0003] The existing traffic light control is basically a fixed-time release mode, with low release efficiency and relatively long release cycle, which often causes unnecessary congestion. Summary of the invention

[0004] In order to solve the problems raised in the above background technology, the present invention provides a smart traffic signal light control method based on vehicle flow statistical data to solve the problems of low release efficiency, relatively long release cycle and frequent unnecessary congestion of existing traffic signal lights.

[0005] To achieve the above object, the present invention provides the following technical solutions: A smart traffic signal light control method based on vehicle flow statistics data comprises the following steps: S1: A traffic signal control system is set at an intersection where two straight roads intersect, the traffic signal control system comprising a control module, four traffic lights and four vehicle flow sensors, wherein the vehicle flow sensors and the traffic lights are connected to the control module, the four vehicle flow sensors are respectively installed on four branches of the intersection, and one traffic light is used to signal vehicles on one branch road; S2: Setting the first process and the second process of the traffic light, the first process is: the traffic light changes to a green light for a preset time, and then changes to a yellow light for a preset time, the second process is: the traffic light changes to a red light for a preset time, wherein the duration of the red light in the second process is equal to the sum of the duration of the green light and the duration of the yellow light in the first process; S3: When the traffic signal control system is turned on for the first time, all traffic lights enter the yellow flashing mode with a preset duration; S4: After the yellow flashing mode ends, the traffic lights of the two branches on a straight road execute the first process, and the traffic lights of the two branches on another straight road execute the second process, and then the traffic signal control system performs a work cycle, each work cycle includes: S4.1: When the first process and the second process respectively executed by the traffic lights are finished, the traffic flow sensors on the branches where the two traffic lights executing the second process are located obtain the waiting vehicle number data during the red light period of the branches where they are located, and select the waiting vehicle number data with the largest number of vehicles in the two branches as the released vehicle data; S4.2: The traffic lights executing the first process and the traffic lights executing the second process are swapped. At the same time, the control module adjusts the green light duration of the two traffic lights that are switching from the second process to the first process based on the released vehicle data, and adjusts the red light duration of the traffic lights that are switching from the first process to the second process to match it.

[0006] Preferably, all vehicle flow sensors and controllers are connected and communicated via MODBUS-RTU485.

[0007] Preferably, the duration of the yellow flashing mode is 10 seconds.

[0008] Preferably, in S2, the duration of the green light in the first process is 60 seconds, the duration of the yellow light is 3 seconds, and the duration of the red light in the second process is 63 seconds.

[0009] Preferably, in S4.1, the specific steps of the vehicle flow sensor obtaining the data on the number of waiting vehicles during the red light period of the branch road where the vehicle flow sensor is located include: S4.1.1: When the red light of the branch road where the vehicle flow sensor is located starts, the control module obtains the historical record data of the vehicle flow sensor as initial data; S4.1.2: During the duration of the red light on the branch where the vehicle flow sensor is located, the vehicle flow sensor continuously records the number of waiting vehicles on the initial data to obtain cumulative data; S4.1.3: When the duration of the red light on the branch where the vehicle flow sensor is located ends, the control module obtains the accumulated data of the vehicle flow sensor, and obtains the data on the number of waiting vehicles during the duration of the red light by subtracting the initial data from the accumulated data.

[0010] Preferably, when the branch road where the vehicle flow sensor is located is under the green light period, the vehicle flow sensor does not record the number of waiting vehicles.

[0011] Compared with the prior art, the present invention has the following beneficial effects: The present application integrates the data of vehicle flow sensors into the traffic signal control system. The vehicle flow sensors collect data on the number of waiting vehicles on each branch road. Based on the size of this data, the traffic signal control system automatically calls the preset release time, thereby greatly improving the vehicle release efficiency, shortening the release cycle, and minimizing road traffic congestion. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a schematic diagram of the process of this application. DETAILED DESCRIPTION

[0013] In order to facilitate those skilled in the art to understand the technical content of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific examples. It should be understood that the specific examples described herein are only used to explain the present invention and are not used to limit the present invention.

[0014] Example 1 A smart traffic light control method based on vehicle flow statistics data, such as Figure 1 As shown, the following steps are included: S1: A traffic signal control system is set at the intersection where two straight roads meet. The traffic signal control system includes a control module, four traffic lights and four vehicle flow sensors, wherein the vehicle flow sensor and the traffic light are connected to the control module, and the four vehicle flow sensors are respectively installed on the four branches of the intersection, and a traffic light is used to signal the vehicles on a branch road. All vehicle flow sensors and controllers are connected and communicated through MODBUS-RTU485. The vehicle flow sensor data of this application can be connected to the traffic control operation and maintenance center, the video can be connected to the hard disk for storage, and can also be monitored in real time through the display. The traffic signal control system includes a speaker to remind pedestrians that "red light is prohibited" and "green light please pass" to ensure pedestrian safety. The vehicle flow sensor of this application adopts "Dongqia AI vehicle flow meter", model "vehicle flow statistics equipment", and the control module of this application includes 1 main controller and four controller expansion modules connected to the main controller. The model of the main controller is SMART-RS30, and the model of the controller expansion module is EM-QR16; S2: Setting the first process and the second process of the traffic light, the first process is: the traffic light changes to a green light for 60 seconds, and then changes to a yellow light for 3 seconds, the second process is: the traffic light changes to a red light for 63 seconds, wherein the duration of the red light in the second process is equal to the sum of the duration of the green light and the duration of the yellow light in the first process; S3: When the traffic signal control system is turned on for the first time, all traffic lights enter the 10-second yellow flashing mode; S4: After the yellow flashing mode ends, the traffic lights of the two branches on a straight road execute the first process, and the traffic lights of the two branches on another straight road execute the second process, and then the traffic signal control system performs a work cycle, each work cycle includes: S4.1: When the first process and the second process respectively executed by the traffic lights are finished, the traffic flow sensors on the branch roads where the two traffic lights executing the second process are located obtain the data on the number of waiting vehicles during the red light period of the branch roads where they are located, and select the data on the number of waiting vehicles with the largest number of vehicles in the two branches as the released vehicle data. When the branch road where the traffic flow sensor is located is in the green light period, the traffic flow sensor does not record the number of waiting vehicles. The specific steps of the traffic flow sensor obtaining the data on the number of waiting vehicles during the red light period of the branch road where it is located include: S4.1.1: When the red light of the branch road where the vehicle flow sensor is located starts, the control module obtains the historical record data of the vehicle flow sensor as initial data; S4.1.2: During the duration of the red light on the branch where the vehicle flow sensor is located, the vehicle flow sensor continuously records the number of waiting vehicles on the initial data to obtain cumulative data; S4.1.3: When the duration of the red light on the branch where the vehicle flow sensor is located ends, the control module obtains the accumulated data of the vehicle flow sensor, and obtains the data of the number of waiting vehicles during the duration of the red light by subtracting the initial data from the accumulated data; S4.2: The traffic lights executing the first process and the traffic lights executing the second process are exchanged. At the same time, the control module adjusts the green light duration of the two traffic lights from the second process to the first process according to the released vehicle data, and adjusts the red light duration of the traffic lights from the first process to the second process to match it. When the number of waiting vehicles is ≤10, the green light duration is set to 20s; when 11≤the number of waiting vehicles≤20, the green light duration is set to 40s; when 21≤the number of waiting vehicles≤30, The green light duration is set to 60s. When 31≤the number of waiting vehicles≤40, the green light duration is set to 80s. When 41≤the number of waiting vehicles≤50, the green light duration is set to 90s. When the number of waiting vehicles>50, the green light duration is set to 96s. The above parameters can be set as needed according to the actual traffic conditions of the local road. It is very flexible and convenient. If the parameters are modified during the operation of the traffic signal control system, it will not respond immediately and will not respond until the next operation cycle. This avoids the immediate modification of traffic data causing the driver to blindly violate traffic rules.

[0015] In this embodiment, the application integrates the data of the vehicle flow sensor into the traffic signal control system, and collects the data of the number of waiting vehicles on each branch road through the vehicle flow sensor. Based on the size of this data, the traffic signal control system automatically calls the preset release time, thereby greatly improving the vehicle release efficiency, shortening the release cycle, and minimizing road traffic congestion.

Claims

1. A smart traffic signal light control method based on vehicle flow statistics, characterized in that: The following steps are involved: S1: A traffic signal control system is set at an intersection where two straight roads intersect, the traffic signal control system comprising a control module, four traffic lights and four vehicle flow sensors, wherein the vehicle flow sensors and the traffic lights are connected to the control module, the four vehicle flow sensors are respectively installed on four branches of the intersection, and one traffic light is used to signal vehicles on one branch road; S2: Setting the first process and the second process of the traffic light, the first process is: the traffic light changes to a green light for a preset time, and then changes to a yellow light for a preset time, the second process is: the traffic light changes to a red light for a preset time, wherein the duration of the red light in the second process is equal to the sum of the duration of the green light and the duration of the yellow light in the first process; S3: When the traffic signal control system is turned on for the first time, all traffic lights enter the yellow flashing mode with a preset duration; S4: After the yellow flashing mode ends, the traffic lights of the two branches on a straight road execute the first process, and the traffic lights of the two branches on another straight road execute the second process, and then the traffic signal control system performs a work cycle, each work cycle includes: S4.1: When the first process and the second process respectively executed by the traffic lights are finished, the traffic flow sensors on the branches where the two traffic lights executing the second process are located obtain the waiting vehicle number data during the red light period of the branches where they are located, and select the waiting vehicle number data with the largest number of vehicles in the two branches as the released vehicle data; S4.2: The traffic lights executing the first process and the traffic lights executing the second process are swapped. At the same time, the control module adjusts the green light duration of the two traffic lights that are switching from the second process to the first process based on the released vehicle data, and adjusts the red light duration of the traffic lights that are switching from the first process to the second process to match it.

2. According to claim 1, a smart traffic signal light control method based on vehicle flow statistics data is characterized in that: All vehicle flow sensors and control modules are connected and communicated via MODBUS-RTU485.

3. The intelligent traffic signal light control method based on vehicle flow statistics according to claim 1 is characterized in that: The duration of the yellow flashing mode is 10 seconds.

4. The intelligent traffic signal light control method based on vehicle flow statistics according to claim 1 is characterized in that: In S2, the green light duration of the first process is 60 seconds, the yellow light duration is 3 seconds, and the red light duration of the second process is 63 seconds.

5. The intelligent traffic signal light control method based on vehicle flow statistics according to claim 1 is characterized in that: In S4.1, the specific steps for the vehicle flow sensor to obtain the data on the number of waiting vehicles during the red light period of the branch road where the vehicle flow sensor is located include: S4.1.1: When the red light of the branch road where the vehicle flow sensor is located starts, the control module obtains the historical record data of the vehicle flow sensor as initial data; S4.1.2: During the duration of the red light on the branch where the vehicle flow sensor is located, the vehicle flow sensor continuously records the number of waiting vehicles on the initial data to obtain cumulative data; S4.1.3: When the duration of the red light on the branch where the vehicle flow sensor is located ends, the control module obtains the accumulated data of the vehicle flow sensor, and obtains the data on the number of waiting vehicles during the duration of the red light by subtracting the initial data from the accumulated data.

6. According to the intelligent traffic signal light control method based on vehicle flow statistics data in claim 5, when the branch road where the vehicle flow sensor is located is in the green light period, the vehicle flow sensor does not record the number of waiting vehicles.

Citation Information

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