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The value of advanced traveler information systems for route choice
Institution:1. School of Economics and Management, Beijing Jiaotong University, Beijing 100044, PR China;2. School of Economics and Management, Beihang University, Beijing 100191, PR China;1. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, 30318, United States;2. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, 30318, United States;3. School of Transportation, Southeast University, Nanjing, 211189, China;1. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China;2. Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, United Kingdom
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% of the capacity, while non-recurring congestion benefits are much greater.
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