Pii: S0968-090x(98)00015-1

نویسندگان

  • Mithilesh Jha
  • Samer Madanat
  • Srinivas Peeta
چکیده

A Bayesian updating model is developed to capture the mechanism by which travelers update their travel time perceptions from one day to the next in light of information provided by Advanced Traveler Information Systems (ATIS) and their previous experience. The availability and perceived quality of trac information are explicitly modeled within the proposed framework. The uncertainty associated with a driver's travel time estimate is modeled in a stochastic dynamic framework and is incorporated in a travel choice model. Each driver uses a disutility function of perceived travel time and perceived schedule delay to evaluate the alternative travel choices, then selects an alternative based on the utility maximization principle. The perception updating model and the choice model are integrated with a dynamic trac simulator (DYNASMART). Empirical results from the simulation experiments and their implications are also presented. # 1998 Elsevier Science Ltd. All rights reserved.

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تاریخ انتشار 1998