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The Value of Advanced Traveler Information Systems for Route Choice

Listed author(s):
  • David Levinson


    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Over the next few years, driver behavior should become more informed with the advent and deployment of in-vehicle navigation systems. This paper analyzes systems that provide the driver the fastest path between his or her current location and final destination, updated in real-time to consider recurring and non-recurring congestion. The traveler's full cost per trip is a bundle comprised of both expected travel time and its reliability. This paper explores these topics from a theoretical economic perspective and then simulates stylized cases. Simulation results indicate that typical information benefits are at a maximum on the precipice of congestion, when vehicles are arriving at a rate of 95 percent of the capacity, while non-recurring congestion benefits are much greater.

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Paper provided by University of Minnesota: Nexus Research Group in its series Working Papers with number 200307.

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Date of creation: 2003
Publication status: Published in Transportation Research part C 11(1) 75-87.
Handle: RePEc:nex:wpaper:atis
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Dept. of Civil Engineering, 500 Pillsbury Drive SE, Minneapolis, MN 55455

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  1. Khattak, Asad J., 1993. "Behavioral Impacts Of Recurring And Incident Congestion And Response To Advanced Traveler Information Systems In The Bay Area: An Overview," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9dp3w95q, Institute of Transportation Studies, UC Berkeley.
  2. Richard H. M. Emmerink & Erik T. Verhoef & Peter Nijkamp & Piet Rietveld, 1996. "Endogenising demand for information in road transport," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 30(2), pages 201-222.
  3. Sengupta, Raja & Hongola, Bruce, 1998. "Estimating ATIS Benefits For The Smart Corridor," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6ps9d86x, Institute of Transportation Studies, UC Berkeley.
  4. P. D. F. Strydom, 1994. "The economics of information," Chapters,in: The Elgar Companion to Austrian Economics, chapter 24 Edward Elgar Publishing.
  5. Al-Deek, Haitham M. & Khattak, Asad J. & Thananjeyan, Paramsothy, 1998. "A combined traveler behavior and system performance model with advanced traveler information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(7), pages 479-493, September.
  6. Khattak, Asad & Kanafani, Adib & Le Colletter, Emmanuel, 1994. "Stated And Reported Route Diversion Behavior: Implications On The Benefits Of ATIS," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4fz4h20k, Institute of Transportation Studies, UC Berkeley.
  7. Levinson, David & Gillen, David & Chang, Elva, 1999. "Assessing the Benefits and Costs of Intelligent Transportation Systems: The Value of Advanced Traveler Information Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9m8534tc, Institute of Transportation Studies, UC Berkeley.
  8. Emmerink, Richard H. M. & Verhoef, Erik T. & Nijkamp, Peter & Rietveld, Piet, 1997. "Information in road networks with multiple origin-destination pairs," Regional Science and Urban Economics, Elsevier, vol. 27(3), pages 217-240, June.
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