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The Economics of Traveler Information from Probes

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  • David Levinson

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

Abstract

This paper examines the economics of traveler information from probe vehicles to understand how many probes are needed to provide useful information, and how that probe information might be supplied to travelers. Probes differ from permanently installed roadway detection devices both because they provide information that is less current and because an information system centered on this technology can be organized in the form of private clubs rather than a government agency. This paper estimates travel time associated with various shares of probes among the fleet by simulating different levels of probes, information subscription, and congestion. It examines the travel time savings under both recurring and non-recurring congestion. When there is non-recurring congestion, a low frequency of probes is sufficient to detect the incident and enable information consumers to choose alternates. However, smoothing the stochastic nature of traffic under recurring congestion requires a relatively high share of probes (up to one-third of the fleet), depending on the level of congestion.

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File URL: http://nexus.umn.edu/Papers/Probes.pdf
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File URL: http://nexus.umn.edu/Papers/IntertechnologyEffects.pdf
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File URL: http://dx.doi.org/doi:10.1177/1087724X02006004002
File Function: First version, 2007
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Bibliographic Info

Paper provided by University of Minnesota: Nexus Research Group in its series Working Papers with number 200201.

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Date of creation: 2002
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Publication status: Published in Public Works Management and Policy 6(4) pp 241-250 (April)
Handle: RePEc:nex:wpaper:probes

Contact details of provider:
Postal: Dept. of Civil Engineering, 500 Pillsbury Drive SE, Minneapolis, MN 55455
Phone: +01 (612) 625-6354
Fax: +01 (612) 626-7750
Web page: http://nexus.umn.edu
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Related research

Keywords: Transportation Information Systems; In-Vehicle Navigation; Advanced Traveler Information Systems; Probes; En Route Guidance;

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Cited by:
  1. Lei Zhang & David Levinson, 2006. "Determinants of Route Choice and the Value of Traveler Information," Working Papers 200808, University of Minnesota: Nexus Research Group.

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