C106 Model Predictive Control for Vehicle Driving Using Traffic Signal Information for optimal Fuel Consumption

Abstract

This paper presents the development of a control system for ecological driving of a vehicle. Information of traffic signals is considered to improve the fuel mileage. It is assumed that the car receives traffic signal information by Intelligent Transportation Systems (ITS). Model predictive control is used to calculate optimal vehicle control inputs by predicted traffic signal information. The performance of the proposed method was analized through the computer simulation. It was observed that fuel economy is greatly improved compared with the typical human driving.