Optimization of Fuel Cost and Emissions Using V2V Communications

Vehicular communication networks are increasingly being considered as a means to conserve fuel and reduce emissions within transportation systems. This paper focuses on using traffic light signals to communicate with approaching vehicles. The communication can be traffic-light-signal-to-vehicle (TLS2V) and vehicle-to-vehicle (V2V). Based on the information sent, the vehicle receiving the message adapts its speed to a recommended speed (SR/), which helps the vehicle reduce fuel consumption and emissions. The key contribution of this paper is the proposal of a comprehensive optimization model that involves V2V and TLS2V communications. The objective function is to minimize fuel consumption by and emissions from vehicles. The speed that can achieve this goal is the optimum SR/ (SR/*). The authors also propose efficient heuristic expressions to compute the optimum or near-optimum value of SR/.

• Record URL:
  • https://doi.org/10.1109/TITS.2013.2262175
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Authors:
  • Alsabaan, Maazen
  • Naik, Kshirasagar
  • Khalifa, Tarek
• Publication Date: 2013-9

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 1449-1461
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 14
  • Issue Number: 3
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Exhaust gases; Fuel consumption; Heuristic methods; Optimization; Traffic signals; Vehicle to infrastructure communications; Vehicle to vehicle communications
• Subject Areas: Data and Information Technology; Energy; Highways; I15: Environment; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01524688
• Record Type: Publication
• Files: TLIB, TRIS
• Created Date: May 1 2014 4:36PM