DocumentCode
2910039
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
fYear
2013
fDate
17-19 June 2013
Firstpage
4009
Lastpage
4014
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;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580453
Filename
6580453
Link To Document