Pavement traffic signal lamp coordination control method based on reinforcement learning

A traffic signal light and coordinated control technology, applied in the control of traffic signals and other directions, can solve problems such as poor traffic at intersections, congestion, and large traffic flow, and achieve the effect of optimizing the road traffic control system and reducing congestion.

A traffic signal light and coordinated control technology, applied in the control of traffic signals and other directions, can solve problems such as poor traffic at intersections, congestion, and large traffic flow, and achieve the effect of optimizing the road traffic control system and reducing congestion.

CN105046987AActive Publication Date: 2015-11-11SUZHOU UNIV
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  • Pavement traffic signal lamp coordination control method based on reinforcement learning
  • Pavement traffic signal lamp coordination control method based on reinforcement learning
  • Pavement traffic signal lamp coordination control method based on reinforcement learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Embodiment one: see Figure 1~5 As shown, a method for coordinated control of road traffic lights based on reinforcement learning includes monitoring equipment corresponding to each crossing, and each of the monitoring equipment is connected to a remote server via an Ethernet wired network module (or wireless network module). The control method is:

[0030] (1) The remote server calculates the waiting time S of the vehicle on each lane at the corresponding intersection by receiving the video signal sent by the monitoring equipment, and the waiting time is the parking time of the vehicle under the red light and green light;

[0031] ⑵ Take the combination of lane traffic modes corresponding to each red-green light at the intersection as a phase state a i , the remote server is in each phase state a i Next, obtain the road congestion situation according to the waiting time analysis obtained in step (1);

[0032] ⑶ According to the current phase state a i The remote se...

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Abstract

The invention discloses a pavement traffic signal lamp coordination control method based on reinforcement learning. Monitoring equipment which is arranged correspondingly to each crossing is included. Each monitoring equipment is connected to a remote server through a network module. The control method comprises the following steps that (1) the remote server calculates waiting time S through receiving a video signal; (2) the remote server analyzes and acquires a road congestion condition under each phase state ai; (3) the remote server acquires a feasible degree ciai under the phase state ai; when a traffic stream can pass through, the road is clear and the feasible degree ciai is 1; otherwise, congestion is generated in the road and the feasible degree ciai is 0; (4) the waiting time S and the feasible degree ciai are used to calculate an optimal driving phase state ai of the crossing; (5) the signal lamp is adjusted. The method in the invention is based on video information acquired in real time. Through coordinating and controlling traffic signal lamps of the plurality of crossings in one area, traffic passing efficiency is increased; a traffic flow of the area is maximized and a pavement traffic congestion condition is alleviated.

Description

technical field [0001] The invention relates to a method for controlling road traffic signal lamps, in particular to a method for coordinated control of road traffic signal lamps based on reinforcement learning. Background technique [0002] Traffic is the foundation of modern society and the lifeblood of human society and economy. People's social behavior is closely related to traffic. In a city, there are a large number of motor vehicles and non-motor vehicles, and the intersections and road sections are complicated. It is very complicated to deal with such a large-scale, dynamic, and highly uncertain distributed system for effective control. work. In the case of no new traffic roads, it is an effective way to quickly solve urban traffic problems through reasonable traffic control to improve the utilization efficiency of roads, and then improve the traffic efficiency. [0003] However, traffic congestion and congestion are becoming more and more serious now. The reasons...

Claims

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Application Information

Patent Timeline
11 Nov 2015
Publication
CN105046987A
IPC
G08G1/08
CPC
G08G1/08
Inventors
朱斐; 朱海军