CN111785041A

CN111785041A - Adaptive adjustment method for time of intersection lamp

Info

Publication number: CN111785041A
Application number: CN201910269374.6A
Authority: CN
Inventors: 李汝宁; 关志伟
Original assignee: Tianjin University of Technology and Education China Vocational Training Instructor Training Center
Current assignee: Tianjin University of Technology and Education China Vocational Training Instructor Training Center
Priority date: 2019-04-04
Filing date: 2019-04-04
Publication date: 2020-10-16

Abstract

The technical problem to be solved by the invention is to provide a self-adaptive adjusting method for traffic signal lamps at a crossroad, which monitors the traffic flow information of vehicles which go straight and turn left at the crossroad in real time through a traffic flow observer and inputs the information into a controller; the controller receives the traffic information of the vehicles going straight and turning left at each intersection in real time, and the controller applies an improved genetic algorithm by taking the vehicle retention information (estimated by the controller according to the previous light time and the traffic flow) and the traffic information of each direction as input conditions, and performs optimization when the vehicles staying at each intersection go straight and turn left by taking the minimum vehicle retention information of each direction as an optimization target; the controller sends the optimal lamp time division scheme to the traffic signal lamps respectively, so that the self-adaptive adjustment of the traffic signal lamps is realized, and the purpose of minimizing vehicles detained at each intersection is achieved. The method has simple structure and can effectively relieve traffic jam.

Description

Adaptive adjustment method for time of intersection lamp

Technical Field

The invention relates to the technical field of traffic control and information, in particular to a method capable of automatically controlling the time of signal lamps according to traffic flow information.

Background

Generally, traffic signals at crossroads are fixed at the time of traffic lights, and periodically change according to preset cycle time of the traffic lights. In this case, the traffic light timing and the cycle period are always constant regardless of the change in the traffic flow in each direction. The way of controlling the lamp is easy to cause the phenomenon that one side is blocked, and the other side is empty, and the crossing traffic efficiency is reduced.

The key to solving these problems is to achieve flexibility in traffic light time allocation. For example, when the traffic flow in a certain direction is small, the green time is shortened. If there is no traffic flow, the red light time in the direction and the green light time in the opposite direction are prolonged, and the problem of overlarge traffic flow in one direction is solved while the phenomena of idle and the like are eliminated.

The invention applies an improved genetic algorithm, optimizes the traffic signal lamp in real time according to the change of traffic flow information in each direction and the vehicle retention information of the intersection in each direction, realizes the self-adaptive adjustment of the lamp, improves the traffic efficiency of the intersection and relieves the traffic jam.

Disclosure of Invention

The invention aims to provide a self-adaptive adjustment method for traffic signal lamps at intersections, which mainly realizes self-adaptive adjustment according to traffic flow and retained vehicle information when the traffic signal lamps at the intersections are used, so as to achieve the purpose of minimizing the retained vehicles at the intersections. It comprises the following steps (fig. 1).

Sep1, monitoring the traffic flow information of vehicles going straight and turning left at the crossroad in real time through a traffic flow observer, and inputting the information into a controller.

Sep2, the controller receives the traffic information of each straight going and left turning vehicle at the crossroad in real time, the retention information of the vehicles at each crossroad (the controller estimates the time and the traffic flow according to the last light) and the traffic information at each direction are used as input conditions, an improved genetic algorithm is applied, the minimum retention vehicle at each crossroad is used as an optimization target, the optimization is carried out when the vehicles at each direction go straight going and left turning light, and the optimization steps are as follows (figure 2): firstly, binary coding is carried out on four green light lamps of a crossroad in the south-north direction and the east-west direction and the straight direction and the left turning direction respectively, and a population is generated at random when the light lamps with the population scale of 80 are generated; secondly, calculating the fitness function of each individual in the population; finding out the individuals with highest fitness and the individuals with lowest fitness in the current group, replacing the worst individuals in the current group with the best individuals so far, wherein in the genetic operation of the current generation, the best individuals do not participate in selection, variation and cross operation, and directly enter the next generation, and other individuals enter the genetic operations of selection, variation, cross and the like to generate new individuals. Fourthly, through 200 generations of evolution, finding the optimal lamp time distribution scheme meeting the traffic flow information.

And Sep3, the controller respectively sends the optimal lamp time division scheme to the traffic signal lamp, so that the self-adaptive adjustment of the traffic signal lamp is realized, and the purpose of minimizing vehicles detained at each intersection is achieved.

Drawings

Fig. 1 is a schematic diagram of an adaptive traffic signal adjusting device at an intersection.

Fig. 2 is a flow chart of optimization of crossroad traffic lights based on improved genetic algorithm.

Claims

1. The invention aims to solve the technical problem of providing a self-adaptive adjustment method for traffic signal lamps at intersections, which mainly realizes the self-adaptive adjustment of the traffic signal lamps at the intersections according to traffic flow and retained vehicle information so as to achieve the purpose of minimizing the retained vehicles at the intersections, and is characterized by comprising the following steps:

sep 1: monitoring the traffic flow information of vehicles which go straight and turn left at each direction of the crossroad in real time through a traffic flow observer, and inputting the information into a controller;

sep 2: the controller receives the traffic information of each direction of straight going and left turning at the crossroad in real time, the vehicle detention information (estimated by the controller according to the last lamp time and traffic flow) and each direction of traffic flow information at each crossroad are used as input conditions, an improved genetic algorithm is applied, the minimum vehicle detention at each crossroad is used as an optimization target, and the optimization steps of each direction of straight going and left turning are as follows: firstly, binary coding is carried out on four green light lamps of a crossroad in the south-north direction and the east-west direction and the straight direction and the left turning direction respectively, and a population is generated at random when the light lamps with the population scale of 80 are generated; secondly, calculating the fitness function of each individual in the population; finding out the individuals with highest fitness and the individuals with lowest fitness in the current group, replacing the worst individuals in the current group with the best individuals so far, wherein in the genetic operation of the current generation, the best individuals do not participate in selection, variation and cross operation, and directly enter the next generation, and other individuals enter the genetic operations of selection, variation, cross and the like to generate new individuals; fourthly, through 200 generations of evolution, finding an optimal lamp time distribution scheme meeting the traffic flow information;

sep 3: the controller sends the optimal lamp time division scheme to the traffic signal lamps respectively, so that the self-adaptive adjustment of the traffic signal lamps is realized, and the purpose of minimizing vehicles detained at each intersection is achieved.

2. According to the method for adaptively adjusting traffic signal lights at crossroads of claim 1, the technical solution of the present invention is clearly and completely described, and it is obvious that the described embodiment is a part of the embodiments of the present invention, but not a whole embodiment, and all other embodiments obtained by those skilled in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.