Developing eco-driving algorithm at the signalized intersection using traffic information

초록

This paper focuses on developing of the eco-drive system using state information of nearby and target vehicles and intersection information. It can determine the speed profile that optimized fuel efficiency by sharing intersection shape, SPAT data, traffic situation, and vehicle status information using WAVE communication. Therefore, the paper proposes eco-driving control system to improve fuel efficiency by using Coasting reflecting real-time traffic situation information and MPC(Model Predict Control) that apply fuel consumption and forward vehicle condition. Two control systems help improve fuel efficiency and decrease CO2 emissions result from reducing rapid acceleration and deceleration and minimizing unnecessary idling time.