Velocity Planning System Based on Intelligent Vehicle Infrastructure Cooperative Technology

Abstract

Travel time, fuel consumption and carbon dioxide emissions are directly related to the vehicle velocity. In this paper, we aim to give a velocity planning system based on intelligent vehicle infrastructure cooperative technology. The system contains two units: road side unit (RSU) and on board unit (OBU). RSU and OBU exchange information with ZigBee protocol. RSU gives dynamic speed advice to OBU by velocity planning algorithm so that the probability of having a green phase is maximized when approaching signalized intersections and the vehicle never exceeds the speed limit and it will pass through the intersection without coming to a stop and driver maybe get to destination without idling. Using a stochastic simulation technique, the velocity planning algorithm has been tested on Veins platform, the results show that the energy/emission savings for vehicles with velocity planning system are found to be 26%~27% and the travel time on an average is 1.8% shorter for the vehicles with velocity planning system as compared to the vehicles without velocity planning system.