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Optimal Controls of Fleet Trajectories for Fuel and Emissions
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics. KTH, School of Architecture and the Built Environment (ABE), Centres, Centre for Traffic Research, CTR.
2013 (English)In: Proceedings of the IEEE Intelligent Vehicle Symposium (IEEE IV13), IEEE , 2013, 1059-1064 p.Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE , 2013. 1059-1064 p.
, IEEE Intelligent Vehicles Symposium, ISSN 1931-0587
Keyword [en]
Dynamic fleet management, Environmental concerns, Environmental objectives, Methodological approach, Optimal control problem, Optimal control theory, Real-time traffic information, Vehicle to infrastructure (V2I)
National Category
Transport Systems and Logistics
URN: urn:nbn:se:kth:diva-138157DOI: 10.1109/IVS.2013.6629606ISI: 000339402900144ScopusID: 2-s2.0-84892421194ISBN: 978-1-4673-2754-1OAI: diva2:680550
2013 IEEE Intelligent Vehicles Symposium, IEEE IV 2013; Gold Coast, QLD; Australia; 23 June 2013 through 26 June 2013

QC 20140128

Available from: 2013-12-18 Created: 2013-12-18 Last updated: 2016-08-16Bibliographically approved

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Ma, Xiaoliang
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Traffic and LogisticsCentre for Traffic Research, CTR
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ReferencesLink to record
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