Title :
Predicting Traffic lights to Improve Urban Traffic Fuel Consumption
Author :
Sánchez, Miguel ; Cano, Juan-Carlos ; Kim, Dongkyun
Author_Institution :
Dept. of Comput. Eng., Polytech. Univ. of Valencia
Abstract :
Modern traffic control systems include smart feedback into the traffic light control system. New ways of improving our transit systems fuel efficiency are now more than welcome due to global warming and oil high price. This paper presents a new approach on how drivers and traffic lights can interact to save fuel. Our preliminary results show that 25% savings are within range in urban circuits
Keywords :
road traffic; traffic control; global warming; light control system; traffic control system; urban traffic fuel consumption; Acceleration; Cities and towns; Communication system traffic control; Control systems; Feedback; Fuels; Lighting control; Telecommunication computing; Traffic control; Vehicles;
Conference_Titel :
ITS Telecommunications Proceedings, 2006 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
0-7803-9587-5
Electronic_ISBN :
0-7803-9587-5
DOI :
10.1109/ITST.2006.288906
