Scheduling Of Connected Autonomous Vehicle On Highway Lanes

Connected vehicles and autonomous vehicles are two promising approaches to-wards future intelligent transportation systems. We propose the concept of ConnectedAutonomous Vehicle (CAV) regarding as the vehicle of the future. CAV has three fea-tures: trafc data available online, ultra-short reaction time, and cooperative driving.This paper aims at the study on lane assignment maneuvers for connected au-tonomous vehicles in a highway scenario as well as at the evaluation of their impacton the overall trafc efciency and safety. We formulate a model of connected au-tonomous vehicles based on NaSch Cellular Automaton Driving Model to character-izing the three features of CAV. The simulation platform is implemented accordingto the models enabling the simulation of mixed highway trafc of ordinary manuallydriven vehicles and connected autonomous vehicles. Based on the model, we proposea novel lane change maneuver Politely Change Lane (PCL), which leverages the Polite-ness Index to achieve the tradeof between trafc safety and efciency. Its efectivenessis validated and evaluated by extensive simulations. The performance shows that PCLimproves both safety and efciency of the overall trafc, especially under heavy trafc.Moreover, the trafc also benefts slightly from cooperative lane change of connectedautonomous vehicles.