Using ETC Data and Detector Data to Derive Information of Route Choices on Tokyo Metropolitan Expressway (MEX)

Route choice analysis based on revealed preference (RP) data plays an important role in various applications on urban expressway. Yet, the exact route choice information is difficult and expensive to be obtained in practice. Conversely, the availability of traffic surveillance systems and electronic toll collection (ETC) system opens possibility to derive route choice information for each vehicle. This paper focuses on the field evaluation of two route identification principles: non-parametric and parametric method, introduced by Pélata et al. (2008). The paper also modifies the parametric method using the more realistic assumption in probability distribution. The assessment of these methods is based on the dataset from four study cases on urban expressway in Tokyo. The paper finds that both methods provide little differences in performance. In most cases the non-parametric method is found to perform marginally better than the other. The accuracy of route choice information derived from both methods ranges between 60 and 75%

• Supplemental Notes:
  • Abstract reprinted with permission from Intelligent Transportation Society of America.
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Tiratanapakhom, Tawin
  • Oguchi, Takashi
  • Tanaka, Shinji
  • Tanaka, Shinji
  • Hong, Sungjoon
  • Warita, Hiroshi
• Conference:
  • 19th ITS World Congress
  • Location: Vienna , Austria
  • Date: 2012-10-22 to 2012-10-26
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 7p
• Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

• TRT Terms: Automated toll collection; Case studies; Expressways; Revealed preferences; Route choice; Surveillance; Traffic data
• Geographic Terms: Tokyo (Japan)
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01501928
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 23 2013 7:53AM