DocumentCode :
3503918
Title :
Optimal controls of fleet trajectories for fuel and emissions
Author :
Xiaoliang Ma
Author_Institution :
ITS Lab., KTH R. Inst. of Technol., Stockholm, Sweden
fYear :
2013
fDate :
23-26 June 2013
Firstpage :
1059
Lastpage :
1064
Abstract :
Increased demand for transport, coupled with energy, climate and environmental concerns, has put more and more pressure for improved performance on traffic systems. The recent development in vehicle-to-infrastructure (V2I) communication provides an effective means for continuous management of vehicle driving. This study presents an essential step of the work towards a dynamic fleet management system that takes advantages of real-time traffic information and communication. Based on the optimal control theory, a methodological approach is developed to control the environmental impacts of live vehicle fleets. In particular, vehicle trajectories that minimize local environmental objectives are derived by applying a discrete dynamic programming method. Numerical examples show that the method is promising for local V2I based traffic management applications and can be further extended for more complex optimal control problems in dynamic fleet management.
Keywords :
automated highways; control engineering computing; dynamic programming; mobile communication; optimal control; road vehicles; V2I based traffic management applications; climate concerns; continuous vehicle driving management; discrete dynamic programming method; dynamic fleet management system; energy concerns; environmental concerns; fleet trajectories; live vehicle fleets; optimal control theory; real-time traffic information; traffic systems; transport demand; vehicle trajectories; vehicle-to-infrastructure communication; Acceleration; Fuels; Mathematical model; Optimal control; Trajectory; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2013 IEEE
Conference_Location :
Gold Coast, QLD
ISSN :
1931-0587
Print_ISBN :
978-1-4673-2754-1
Type :
conf
DOI :
10.1109/IVS.2013.6629606
Filename :
6629606
Link To Document :
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