Dynamic Journey Time Estimation in Stochastic Road Networks with Uncertainty
نویسندگان
چکیده
This paper investigates the dynamic journey time estimation (DJTE) problem, which can be used to estimate simultaneously the mean and standard deviation (SD) of path journey times in stochastic road networks. In this paper, a bi-level programming model is proposed to solve the DJTE problem. The upper level is to minimize the deviations of the mean and SD between the estimated and observed path journey times. The low level is a reliability-based dynamic traffic assignment model with taking account the variation of path journey times. The modified simulated annealing (SA) algorithm is adapted to solve the proposed bi-level problem. Numerical example is used to illustrate the application of the proposed DJTE model and the modified algorithm together with some insightful findings.
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