Main line green wave coordination control signal time method for optimizing exhaust gas emission

Abstract

The invention discloses a main line green wave coordination control signal time method for optimizing exhaust gas emission. The method comprises the following steps that first, the basic traffic parameter of a main line is surveyed and obtained, and a vehicle exhaust gas emission calculating platform is initialized; second, the basic parameter of a multi-objective genetic method is set, and a population of the multi-objective genetic method is initialized; third, based on the platform, the adaptive degrees of all individuals in the population are calculated; fourth, the non-domination sequence and the visual adaptive degree of the individuals in the population are calculated, a progeny population is generated through genetic section, genetic cross and genetic variation, and the adaptive degrees of all individuals of the progeny population are calculated; fifth, the population and the progeny population are combined to obtain a new population, the non-domination sequence and the congestion degree of all individuals of the new population are calculated, the individuals are chosen based on the non-domination sequence and the congestion degree, and the next generation population is obtained; six, when evolution algebra is larger than the best evolution algebra, execution of the method is completed, all the individuals with the non-domination sequence being equal to 1 in the last generation population are used as a final noninferior solution to be output, and the timing scheme in which the vehicle average delay and vehicle exhaust gas emission are comprehensively considered is obtained.

Description

technical field [0001] The invention belongs to the field of green wave timing control of main lines in traffic signal control, and relates to a coordinating control signal timing method for main lines considering both pollutant discharge and vehicle delay optimization. Background technique [0002] Most of the intersections on the arterial roads of the urban road network in my country are signal-controlled intersections. When single-point signal control is performed, vehicles frequently stop at the intersections, which leads to traffic problems such as low road network operation efficiency and increased travel delays. In order to reduce the parking time of vehicles at various intersections, it is of great significance to improve the traffic conditions of the whole city by unifying a group of adjacent traffic signals on a trunk line for coordinated control and reducing traffic delays and parking rates of traffic flow on the trunk line . [0003] At the same time, with the c...

AI Technical Summary

Problems solved by technology

[0004] The timing method of the trunk line green wave coordinated control signal proposed by the present invention belongs to the category of timing green wave control methods. The main ideas of setting the timing green wave scheme in the past are mainly divided into two categories: maximizing the width of the green wave band and minimizing the delay. The optimization objective of the method is to maximize the width of the green wave belt and minimize the average vehicle or per capita travel delay. There are few studies on the impact of the coordinated control of the green wave on the trunk line on vehicle exhaust emissions. Simulate the emission of vehicle pollutants under the environment, the formulation of the green wave scheme is carried out independently of the vehicle exhaust emission, and the optimization of vehicle exhaust emission is not considered in the process of generating the scheme

At the same time, the genetic method is a common method to deal with the delay minimization problem. The evaluation indicators such as the average delay of getting off the bus and the number of parking times of different green wave schemes are often not optimal at the same time. Previous studies often use the method of weighted summation to convert it into a single objective Optimization problems, but the distribution of weights is often subjective

Images