Understanding Operational and Charging Patterns of Electric Vehicle Taxis Using GPS Records

The major obstacle to the wide acceptance of Electric Vehicles (EV) is the lack of a wide spread charging infrastructure. To solve this, the Chinese government has promoted EVs in public transportation. The operational patterns of EV taxis should be different from Internal Combustion Engine Vehicles (ICEV) taxis: EVs can only travel a limited distance due to the limited capacity of the batteries and an EV taxi may re-charge several times throughout a day. Understanding the status (e.g., operational patterns, driver income and charging behaviours) of EV taxis can provide invaluable information to policy makers. To the authors best knowledge, this is the first paper to understand EV taxis behavior patterns. The authors use real taxi global positioning system (GPS) records data from a fleet with about 600 EV taxis operating in Shenzhen, China. The authors study the patterns from two aspects: operational behaviors and charging behaviors. The most important finding is: based on the net profits of both EV and ICEV taxis, which are derived from data, the authors find that commercial operation of an EV taxi fleet can be profitable in metropolitan area, when specific policies give advantages to EV taxis.

• Record URL:
  https://doi.org/10.1109/ITSC.2014.6958086
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6948869
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Tian, Zhiyong
  • Wang, Yi
  • Tian, Chen
  • Zhang, Fan
  • Tu, Lai
  • Xu, Chengzhong
• Conference:
  • 17th International IEEE Conference on Intelligent Transportation Systems (ITSC14)
  • Location: Qingdao , China
  • Date: 2014-10-8 to 2014-10-11
• Publication Date: 2014-10

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 2472-2479
• Monograph Title: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC14)

Subject/Index Terms

• TRT Terms: Electric vehicle charging; Electric vehicles; Global Positioning System; Internal combustion engines; Taxicabs; Travel patterns; Vehicle operations; Vehicle range
• Geographic Terms: Shenzhen (China)
• Subject Areas: Environment; Highways; Planning and Forecasting; Vehicles and Equipment; I15: Environment; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01562182
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 28 2015 3:09PM