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Reliability-based congestion pricing model under endogenous equilibrated market penetration and compliance rate of ATIS

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Journal of Central South University 2015年第3期22卷 1155-1165页

作者：钟绍鹏邓卫 bushell max School of Transportation and Logistics Dalian University of Technology School of Transportation Southeast University Pedestrian and Bicycle Information Center University of North Carolina at Chapel Hill

A reliability-based stochastic system optimum congestion pricing(SSOCP) model with endogenous market penetration and compliance rate in an advanced traveler information systems(ATIS) environment was proposed. All travelers were divided into two classes. The first guided travelers were referred to as the equipped travelers who follow ATIS advice, while the second unguided travelers were referred to as the unequipped travelers and the equipped travelers who do not follow the ATIS advice(also referred to as non-complied travelers). Travelers were assumed to take travel time, congestion pricing, and travel time reliability into account when making travel route choice decisions. In order to arrive at on time, travelers needed to allow for a safety margin to their *** market penetration of ATIS was determined by a continuous increasing function of the information benefit, and the ATIS compliance rate of equipped travelers was given as the probability of the actually experienced travel costs of guided travelers less than or equal to those of unguided travelers. The analysis results could enhance our understanding of the effect of travel demand level and travel time reliability confidence level on the ATIS market penetration and compliance rate; and the effect of travel time perception variation of guided and unguided travelers on the mean travel cost savings(MTCS) of the equipped travelers, the ATIS market penetration, compliance rate, and the total network effective travel time(TNETT).

关键词： reliability advanced traveler information systems market penetration compliance rate stochastic system optimum congestion pricing non-additive path cost

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