Fuel optimal vehicle control via traffic light prediction

This paper presents an Eco-driving system to optimize energy consumption by predicting the information of signal light. The vehicle fuel consumption in the urban is greatly influenced by traffic light. Firstly the paper formulates the vehicle dynamic model considering about the road conditions. The reference velocity trajectory that vehicle passes the successive signal intersections without stop is obtained by anticipating the traffic light information. Then the paper computes the fuel consumption optimization control input using model predictive control. The comprehensive optimization index includes the fuel consumption model and speed tracking. The simulation results illustrate that this method decreases the waiting times at the traffic light and consequently improve fuel economy, and make the vehicle cruise at a constant speed.