Research On The Arterial Road Coordinated Control Strategy Based On Bus Priority

With the continuous growth of the number of motor vehicles in China,the pressure on urban road traffic is getting heavier.Public transportation has the advantages of large passenger capacity,less occupation of road resources,and high transportation efficiency.Therefore,the priority development of public transportation can effectively alleviate the traffic pressure of urban roads,improve the efficiency of transportation and promote the healthy development of urban public transportation.In the urban signal control system,both arterial road coordinated control and bus priority control can alleviate the problem of urban traffic congestion to some extent,but in fact,the ultimate goals of these two control methods have different focuses: the coordinated control of arterial roads needs to be guaranteed the traffic efficiency of social vehicles is the greatest,while the priority control of public transportation focuses more on obtaining more priority rights for public transportation vehicles on the road.Therefore,it is of great practical significance to realize public transport priority on the basis of ensuring the coordinated control of arterial roads.This paper first analyzes the basic theories of bus priority signal control.By analyzing the advantages of various fusion methods,with the goal of more accurate traffic flow arrival rate,BP neural network is used to establish a multi-source traffic flow data fusion model,and multiple detectors are used to detect the fusion of the traffic flow of the single intersection lays the foundation for the simulation analysis of the timing optimization model of the single intersection.Based on the large passenger capacity of public buses,the green signal ratio optimization model of the intersection is established according to the passenger flow ratio of each phase of the intersection and the saturation constraints of social lanes and bus lanes in each entrance direction,and the green signal ratio of each phase is calculated.Moreover,taking into account the non-priority phase green light time constraints and cycle duration constraints,a single-point signal timing optimization model for public transport priority is established with the goal of the optimal comprehensive capacity of the intersection.Through the analysis of the triggering conditions of the bus priority signal under the arterial road coordination,the control process and control parameters of the bus priority control strategy are determined;based on the single-point control of the bus priority,the arterial road coordinated control timing parameters are optimized,and establish a offset optimization model based on bus priority,using genetic algorithm to solve the model,get the arterial road coordinated control plan of bus priority,and realize the coordinated control between the arterial road green wave and the bus priority signal.The fusion traffic flow is obtained based on the fusion algorithm,and the optimized model is solved by the fusion traffic flow,and the simulation test plan is designed.Through simulation analysis of three control methods: current signal control,traditional bus priority signal control,and bus priority arterial signal coordinated control,and average vehicle delay,average capita delay and bus delay time are selected as evaluation indicators.The results show that the of bus priority dynamic coordinated control method proposed in this paper can reduce driving delays more effectively and improve the punctuality rate of public transportation vehicles.So that the comprehensive capacity of intersections and arterial road has been improved.