Eco-Driving for Public Transit in Cyber-Physical Systems using V2I Communication

This paper studies the eco-driving of public transit using the information of the traffic signal and the passengers obtained with V2I infrastructure. An optimal control is formulated to minimize the vehicle exhaust emission and avoid the extra stops at the intersection. The numerical algorithm is proposed by integrating the rolling horizon optimization with the branch and bound method. The optimal driving velocity is displayed to the drivers via mobile applications. A traffic network in Xicheng District, Beijing, is chosen to investigate the performance of the developed eco-driving approach.

• Record URL:
  https://doi.org/10.1007/s13177-017-0139-1
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13488503
• Supplemental Notes:
  • Copyright © 2018, Springer.
• Authors:
  • Zhang, Liguo
  • Liang, Wenjia
  • Zheng, Xiuzheng
• Publication Date: 2018-5

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 79-89
• Serial:
  • International Journal of Intelligent Transportation Systems Research
  • Volume: 16
  • Issue Number: 2
  • Publisher: Springer Publishing
  • ISSN: 1348-8503
  • EISSN: 1868-8659
  • Serial URL: http://link.springer.com/journal/13177

Subject/Index Terms

• TRT Terms: Bus driving; Ecodriving; Emission control systems; Public transit; Signalized intersections; Vehicle to infrastructure communications
• Geographic Terms: Xicheng District (Beijing, China)
• Subject Areas: Data and Information Technology; Environment; Highways; Operations and Traffic Management; Public Transportation;

Filing Info

• Accession Number: 01670897
• Record Type: Publication
• Files: TRIS
• Created Date: May 29 2018 4:04PM