Traffic Efficiency Optimization Of Intelligent Network Bus Intersections Based On Vehicle-road Cooperation

Intelligent transportation system changes with each passing day,the development trend of intelligent connected vehicles will also be unstoppable.Car ownership in China rapid growth in energy consumption,such as traffic jams and car security problem increasingly prominent,road fork for urban traffic fortress,the problem is particularly serious,in order to "energy saving,efficient,safe and comfortable" as the theme of a new generation of intelligent made cars will become the world a new round of industry competition,the strategic high ground.Due to the influence of signal lights,frequent start and stop will greatly reduce the traffic efficiency of intersections.Combined with the vehicle-road cooperation technology background,this paper aims to improve the traffic efficiency at intersections of intelligent network connected buses,and proposes the dynamic timing optimization method of intersection signal lights.The main research work includes the following.(1)Build an intelligent network connected public transportation system modelSignal phase analysis of intersection control and intelligent snatched the bus intersection traffic mode,and according to the actual intelligent snatched the bus route information acquisition,signal control intersection is established and the actual operation circuit simulation model,and the intelligent snatched the bus and the traffic flow modeling,and set up the network environment,the establishment of simulation model,complete intersection.Finally,the operation efficiency of intelligent network connected bus is analyzed.(2)Build 5G vehicle-road cooperative system frameworkThe vehicle-road cooperation system is constructed of 5G vehicle-road cooperation to realize traffic signal priority and bus vehicle coordination control.The framework consists of 5G vehicle-mounted terminals,roadside signal priority equipment,roadside blind area monitoring equipment,vehicle-road cooperative support platform and other core equipment systems.The new scheme can effectively improve the low efficiency of signal lamp timing in some cases and effectively improve the traffic efficiency of intelligent network connected bus intersection.(3)Establish the optimization model of traffic signal controlThis paper puts forward a kind of based on single intersection signal timing method based on multi-objective optimization,with the help of a car road collaborative technology,real-time signal road intersection information,with vehicle delays,traffic capacity and stops three control variables as the parameters and establish the optimization model,The queuing length is used as fuzzy control variable to dynamically append green time.The simulation results is the proposed algorithm effectively improve the capacity of road intersections.(4)Design the regional control optimization model of multi-intersection signalThis study starts from the signal dynamic coordination control of multiple intersections,takes the typical urban arterial roads as the research object,and obtains the signal light phase difference within the regional control based on the numerical method.The multi-objective signal timing method is used to calculate the period and effective green time of key intersections and dynamically coordinate the smooth passage of traffic flow.Finally,a simulation test is conducted on the operation line 1 of zhengzhou Zhengdong New District autonomous bus.The simulation software Vissim+MATLAB is used to verify the effectiveness of the algorithm.The results show that the one-way running time of intelligent networked bus is reduced by 14.2% through the proposed multi-objective signal optimization method.The average speed was increased from18.25km/h to 23.52km/h,28.8% higher than before optimization,and vehicle delay could be reduced by more than 63.5% under low traffic flow.The average number of cars in the queue dropped from 15.26 to 8.52,with the optimization ratio reaching more than 44.2%.