Title :
Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time
Author :
Asadi, Behrang ; Vahidi, Ardalan
Author_Institution :
Dept. of Mech. Eng., Clemson Univ., Clemson, SC, USA
fDate :
5/1/2011 12:00:00 AM
Abstract :
This brief proposes the use of upcoming traffic signal information within the vehicle´s adaptive cruise control system to reduce idle time at stop lights and fuel consumption. To achieve this goal an optimization-based control algorithm is formulated that uses short range radar and traffic signal information predictively to schedule an optimum velocity trajectory for the vehicle. The control objectives are: timely arrival at green light with minimal use of braking, maintaining safe distance between vehicles, and cruising at or near set speed. Three example simulation case studies are presented to demonstrate the potential impact on fuel economy, emission levels, and trip time.
Keywords :
adaptive control; fuel economy; optimisation; predictive control; radar; road traffic; adaptive cruise control system; fuel economy; optimization-based control algorithm; optimum velocity trajectory; short range radar and; traffic signal information; trip time reduction; Adaptive control; Adaptive systems; Control systems; Fuel economy; Lighting control; Programmable control; Radar; Scheduling algorithm; Traffic control; Velocity control; Fuel economy; model predictive control (MPC); predictive cruise control (PCC); traffic light preview;
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2010.2047860