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.
Levinson, David (2003) The Value of Advanced Traveler Information Systems for Route Choice. Transportation Research part C 11(1) 75-87.
California Department of Transportation,
California PATH Program
Levinson, David M.
The Value of Advanced Traveler Information Systems for Route Choice.
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