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Travel Time Estimation on the San Francisco Bay Area Network Using Cellular Phones as Probes

Author

Listed:
  • Ygnace, Jean-Luc
  • Drane, Chris
  • Yim, Y. B.
  • de Lacvivier, Renaud

Abstract

Current traffic travel time estimates are largely based on road sensors embedded in the pavement. Today technical developments in cellular positioning and the spread of wireless phones provide the opportunity to track cell phone equipped drivers as traffic probes. The Federal Communication Commission Phase II mandate for Enhanced-911 (E-911) requires that wireless carriers must provide the location of a 911 wireless call by October 1, 2001 to the Public Safety Answering Point (PSAP), within approximately 125 meters, or under one-tenth of a mile in the majority of situations. The motivation of this research is to evaluate the feasibility of using cell phones as traffic probes for the Bay Area network. A review of cellular positioning techniques, an analytical model, as well as a simulation model show that accurate travel times estimates can be obtained. Assuming that at least 5% of freeways travelers are equipped with a cell phone, one can predict a 95% accuracy in freeway link travel time estimates. The E-911 mandate will be the driving force to implement such cellular positioning. However, the production, or adaptation, and warehousing of traffic information from the cell-phones-as-probes can be tailored for the requirements of traffic authorities and information service providers and may become an important business opportunity. The report also advocates the joint field evaluation of GPS, cellular and conventional systems, to allow the identification of the best mix of technology for future implementations. The possible institutional role of the PATH organization to foster a quicker deployment of these technologies in California is also presented in this report.

Suggested Citation

  • Ygnace, Jean-Luc & Drane, Chris & Yim, Y. B. & de Lacvivier, Renaud, 2000. "Travel Time Estimation on the San Francisco Bay Area Network Using Cellular Phones as Probes," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8xn8m01v, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt8xn8m01v
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    Citations

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    Cited by:

    1. Herrera, Juan C & Bayen, Alexandre M, 2007. "Traffic flow reconstruction using mobile sensors and loop detector data," University of California Transportation Center, Working Papers qt6v40f0bs, University of California Transportation Center.
    2. Hiribarren, Gabriel & Herrera, Juan Carlos, 2014. "Real time traffic states estimation on arterials based on trajectory data," Transportation Research Part B: Methodological, Elsevier, vol. 69(C), pages 19-30.
    3. Herrera, Juan C. & Work, Daniel B. & Herring, Ryan & Ban, Xuegang Jeff & Bayen, Alexandre M, 2009. "Evaluation of Traffic Data Obtained via GPS-Enabled Mobile Phones: the Mobile Century Field Experiment," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0sd42014, Institute of Transportation Studies, UC Berkeley.
    4. Yim, Y. B. Youngbin & Cayford, Randall, 2001. "Investigation of Vehicles as Probes Using Global Positioning System and Cellular Phone Tracking: Field Operational Test," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0378c1wc, Institute of Transportation Studies, UC Berkeley.
    5. Herrera, Juan C. & Bayen, Alexandre M., 2010. "Incorporation of Lagrangian measurements in freeway traffic state estimation," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 460-481, May.
    6. Yin, Kai & Wang, Wen & Bruce Wang, Xiubin & Adams, Teresa M., 2015. "Link travel time inference using entry/exit information of trips on a network," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 303-321.
    7. Mohamed El Esawey & Tarek Sayed, 2011. "A framework for neighbour links travel time estimation in an urban network," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(3), pages 281-301, October.

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