Research On The Coordination Control Efficiency Of Autonomous Vehicles Driving On The BRT Lanes

With the maturity of autonomous driving technology,in order to realize the utility of the autonomous car,it has been proposed to construct autonomous car lanes.The way to build an automatic driving lane is mainly to build new or use other dedicated lanes.Therefore,this study proposes a method of driving autonomous cars through BRT dedicated lanes.This study first improved the traditional cellular automaton model,setting different rules for autonomous vehicles and ordinary human driving cars.We studied the traffic flow when autonomous vehicles and ordinary motor vehicles are mixed.The space-time map and flow density map show the impact of changes in the proportion of autonomous vehicles on traffic.We found that when 100% are autonomous cars,the traffic on the road is obviously smoother and the traffic capacity is greater.As the proportion of ordinary motor vehicles increases,the traffic capacity decreases,and the stop-and-go phenomenon begins to become apparent.We also consider the detection error of automatic driving and the judgment error of human driving,and study the change of traffic capacity in this case.We tried to set up a dedicated driving lane and found that setting a dedicated lane when the proportion of autonomous cars was low caused some road resources to be wasted.The conclusion of this part lays the foundation for the study of the autonomous driving lane.The second half of the study is a solution to the above problem.When the proportion of autonomous vehicles is relatively low,the way of using other driving lanes can be taken as the transition for autonomous vehicles.Based on this,this study studies the coordination control and operational efficiency of the main line when driving autonomous cars through the BRT lane.The trunk coordination uses the genetic algorithm to optimize the timing scheme.The delay is used as the objective function.The proportion of autonomous cars is divided into 10%,30%,37.5%,and 60%.The road setting mode is divided into two types.The first scene is that the autonomous car drives on the BRT lane.The second scene is that the autonomous car drives on the ordinary motorway.The study found that the first scene delay is always the highest regardless of the proportion of autonomous vehicles.When the proportion of autonomous cars is low,scene one’s delay is lower.When the proportion of autonomous cars is medium,about 30%,the result of trunk coordination is the best.This shows that when the proportion of autonomous cars is relatively low,allowing the autonomous cars to travel through the BRT lane is a great transitional way.