Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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, Published 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
Identifiers
URN: urn:nbn:se:kth:diva-129673DOI: 10.1109/ICCVE.2012.57ISI: 000323271800050Scopus ID: 2-s2.0-84879465377ISBN: 978-076954900-2 (print)OAI: oai:DiVA.org:kth-129673DiVA: diva2:655377
Conference
2012 1st International Conference on Connected Vehicles and Expo, ICCVE 2012; Beijing; China; 12 December 2012 through 16 December 2012
Note

QC 20131011

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

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Mårtensson, Jonas

Search in DiVA

By author/editor
Ma, XiaoliangMårtensson, Jonas
By organisation
Traffic and LogisticsAutomatic ControlACCESS Linnaeus Centre
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 60 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf