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Optimal controls of vehicle trajectories in fleet management using V2I information
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3672-5316
2012 (English)In: Proceedings - 2012 International Conference on Connected Vehicles and Expo, ICCVE 2012, IEEE , 2012, 256-260 p.Conference paper (Refereed)
Abstract [en]

Given the raised focus on transport energy and traffic-induced environmental issues, the ability of reducing vehicular environmental impacts is of great importance for intelligent traffic management. 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 , 2012. 256-260 p.
Keyword [en]
fleet management, Optimal controls, vehicle to infrastructure communication
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-129673DOI: 10.1109/ICCVE.2012.57ISI: 000323271800050ScopusID: 2-s2.0-84879465377ISBN: 978-076954900-2OAI: diva2:655377
2012 1st International Conference on Connected Vehicles and Expo, ICCVE 2012; Beijing; China; 12 December 2012 through 16 December 2012

QC 20131011

Available from: 2013-10-11 Created: 2013-10-03 Last updated: 2013-11-06Bibliographically approved

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Ma, XiaoliangMårtensson, Jonas
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Traffic and LogisticsAutomatic ControlACCESS Linnaeus Centre
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ReferencesLink to record
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