Title :
Fuel minimization of a moving vehicle in suburban traffic
Author :
Thomas, Gael ; Voulgaris, Petros G.
Author_Institution :
Aerosp. Eng. Dept., Univ. of Illinois at Urbana Champaign, Urbana, IL, USA
Abstract :
In this paper we study how a driver could use traffic light information in order to adapt his speed profile to save fuel. Some analytical results are developed for simple cases using optimization theory and numerical simulations are performed for more complex cases. Dijkstra´s shortest path algorithm is a useful tool to provide optimizing policies.
Keywords :
environmental factors; fuel; graph theory; optimisation; road traffic; road vehicles; Dijkstra shortest path algorithm; driver; fuel minimization; fuel saving; moving vehicle; numerical simulations; optimization theory; optimizing policies; speed profile; suburban traffic; traffic light information; Equations; Fuels; Gears; Mathematical model; Minimization; Tires; Vehicles;
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-0177-7
DOI :
10.1109/ACC.2013.6580453
