Research on the Behavior Decision of Connected and Autonomous Vehicle at the Unsignalized Intersection

Xiang Pan, Xingzhi Lin

20212021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)20 citationsDOI

Abstract

In the context of emerging technologies and mature applications of Connected and Autonomous Vehicle, higher requirements are made for the techniques concerning behavioral control at the crossings in the intelligent networks. In this paper, behavior decision of Connected and Autonomous Vehicle at the unsignalized intersection is divided into the avoidance strategy and the vehicle following strategy. Four microscopic traffic flow models are constructed and compared by collision detection algorithm. The simulation results show that the autonomous lane change decision model in the intelligent networks environment can significantly increase the average road speed, reduce the probability of vehicle blockage, lane change and emergency braking, and improve the efficiency of traffic at intersections. At the same time, it can reduce the risk of vehicle collision due to speed dispersion.

Topics & Concepts

Intersection (aeronautics)Context (archaeology)Computer scienceCollision avoidanceRoad traffic controlCollisionTraffic flow (computer networking)Intelligent transportation systemReal-time computingTransport engineeringSimulationAutomotive engineeringControl (management)EngineeringArtificial intelligenceComputer networkComputer securityBiologyPaleontologyTraffic control and managementTraffic Prediction and Management TechniquesTransportation Systems and Logistics