Identifying Spatial and Temporal Congestion Characteristics Using Passive Mobile Phone Data

This paper describes an application of a new system-wide data collection to a large scale project. The problem is to identify and estimate spatio-temporal congestion characteristics and provide this information to assess congestion pricing schemes. The methodology is based on passive data collection obtained from a cellular phone provider. The nature and coverage of the system allows the estimation of travel time and traffic volumes within reasonable accuracy. The paper focuses on the estimation of man-hours lost due to congestion in the Tel Aviv Metropolitan Area. A total of 2,042 men-years is estimated to be lost due to congestion in a single month (March 2007).

• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Bekhor, Shlomo
  • Hirsh, Moshe
  • Nimre, Saleem
  • Feldman, Israel
• Conference:
  • Transportation Research Board 87th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2008-1-13 to 2008-1-17
• Date: 2008

Language

• English

Media Info

• Media Type: DVD
• Features: Figures; Maps; References;
• Pagination: 17p
• Monograph Title: TRB 87th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

• TRT Terms: Cellular telephones; Congestion pricing; Data collection; Information systems; Systems analysis; Traffic volume; Travel time
• Uncontrolled Terms: Spatiotemporal analysis
• Geographic Terms: Tel Aviv (Israel)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01088489
• Record Type: Publication
• Report/Paper Numbers: 08-1534
• Files: TRIS, TRB
• Created Date: Feb 25 2008 2:32PM