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The Value of Advanced Traveler Information Systems for Route Choice

Author

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  • David Levinson

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

Abstract

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.

Suggested Citation

  • David Levinson, 2003. "The Value of Advanced Traveler Information Systems for Route Choice," Working Papers 200307, University of Minnesota: Nexus Research Group.
  • Handle: RePEc:nex:wpaper:atis
    as

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    File URL: http://hdl.handle.net/11299/179911
    File Function: First version, 2007
    Download Restriction: no

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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    Cited by:

    1. Caspar Chorus & Theo Arentze & Harry Timmermans, 2007. "Information impact on quality of multimodal travel choices: conceptualizations and empirical analyses," Transportation, Springer, vol. 34(6), pages 625-645, November.
    2. Anthony Ziegelmeyer & Frédéric Koessler & Kene Boun My & Laurent Denant-Boèmont, 2008. "Road Traffic Congestion and Public Information: An Experimental Investigation," Journal of Transport Economics and Policy, University of Bath, vol. 42(1), pages 43-82, January.
    3. Zhang, Rong & Verhoef, Erik T., 2006. "A monopolistic market for advanced traveller information systems and road use efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 424-443, June.
    4. Lei Zhang & David Levinson, 2006. "Determinants of Route Choice and the Value of Traveler Information," Working Papers 200808, University of Minnesota: Nexus Research Group.
    5. Piet Rietveld, 2011. "The Economics of Information in Transport," Chapters,in: A Handbook of Transport Economics, chapter 24 Edward Elgar Publishing.
    6. Zhao, Y. & Triantis, K. & Teodorovic, D. & Edara, P., 2010. "A travel demand management strategy: The downtown space reservation system," European Journal of Operational Research, Elsevier, vol. 205(3), pages 584-594, September.
    7. Soriguera, Francesc, 2014. "On the value of highway travel time information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 294-310.
    8. André De Palma & Nathalie Picard, 2005. "Congestion on risky routes with risk adverse drivers," ERSA conference papers ersa05p423, European Regional Science Association.
    9. repec:eee:transb:v:104:y:2017:i:c:p:710-732 is not listed on IDEAS
    10. Chorus, Caspar G. & Arentze, Theo A. & Molin, Eric J.E. & Timmermans, Harry J.P. & Van Wee, Bert, 2006. "The value of travel information: Decision strategy-specific conceptualizations and numerical examples," Transportation Research Part B: Methodological, Elsevier, vol. 40(6), pages 504-519, July.
    11. Guohui Zhang & Zhong Wang & Khali Persad & C. Walton, 2014. "Enhanced traffic information dissemination to facilitate toll road utilization: a nested logit model of a stated preference survey in Texas," Transportation, Springer, vol. 41(2), pages 231-249, March.
    12. repec:gam:jsusta:v:9:y:2017:i:10:p:1690-:d:112904 is not listed on IDEAS
    13. Irene Casas & Mei-Po Kwan, 2007. "The Impact of Real-Time Information on Choices During the Commute Trip: Evidence from a Travel Simulator," Growth and Change, Wiley Blackwell, vol. 38(4), pages 523-543.
    14. Jou, Rong-Chang & Lam, Soi-Hoi & Liu, Yu-Hsin & Chen, Ke-Hong, 2005. "Route switching behavior on freeways with the provision of different types of real-time traffic information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(5), pages 445-461, June.

    More about this item

    Keywords

    Transportation Information Systems; In-Vehicle Navigation; En-Route Guidance; Electronic Route Guidance; Advanced Traveler Information Systems;

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • D10 - Microeconomics - - Household Behavior - - - General
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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