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 traveler¹s 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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Publisher Info
Paper provided by University of Minnesota: Nexus Research Group in its series Working Papers with number
200307.
Length: Date of creation: 2003 Date of revision: Publication status: Published in Transportation Research part C 11(1) 75-87. Handle: RePEc:nex:wpaper:atis
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Find related papers by JEL classification: R40 - Urban, Rural, and Regional Economics - - Transportation Systems - - - General R48 - Urban, Rural, and Regional Economics - - Transportation Systems - - - Government Pricing; Regulatory Policies 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, and Information D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
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