Study On Coordination Optimization Of Isolated Intersection And Trunk Line Based On Traffic Demand

Intersection is not only the smallest unit of traffic signal control system,but also the bottleneck of smooth operation of the whole road network.Because the capacity of traffic infrastructure does not adapt to the current situation of traffic flow,it is prone to various frequent problems such as vehicle overflow,which is not conducive to the driving experience of traffic participants.The optimization of signal control scheme is one of the most direct methods to improve the above problems.Therefore,in this paper,the main research work is coordinated from the intersection of the isolation intersection,and the following is the main content of this paper:(1)This paper considers the relationship between traffic demand and vehicle reaching and land factors around the inlet,and applies three-story Bayes network to build traffic,vehicle arrival time and travel time on the basis of traffic wave delivery analysis.The relationship between the introduction is expected to maximize algorithm learning hidden parameters,providing data support for subsequent intersection signal control optimization.(2)The adaptive signal optimization method based on the double-ring phase structure is proposed,and three angles of the phase scheme,control parameters,and solving algorithm are proposed.From the intersection,there is an uneven problem with the intersection,the phase scheme optimization method based on the bicyclic phase structure is proposed.Then use the actual traffic demand as an input,establish a comprehensive performance index optimization model according to different traffic conditions.The non-dominant sorted adaptive genetic algorithm(NSAGA-Ⅱ)with an elite selection policy is proposed to solve the model to obtain an optimal double-loop structure timing scheme according to the change of traffic flow.(3)Propose urban trunk protection to the overflow coordination optimization model.According to the single point intersection adaptive signal control optimization determines the cycle length of the trunk coordination,the speed range of the intersection fleet is corrected by meteorological factors.The multi-objective optimization model is constructed with the number of delays and the number of parking.Finally,the essence of microastoma and mixed variation is used to solve the model,which has a good global search capability and iterative efficiency.This paper combines the case analysis of the local intersection of Jinan City,Compare the improvement of the evaluation index of the case under the control method and the current scheme,The model can reduce the slow driving and traffic detention under the influence of phase to a certain extent,and improve the utilization rate of green light time and the traffic efficiency of the trunk line.The effectiveness of the model and optimization algorithm proposed in this paper is proved.