Abstract
This paper proposed a novel transit schedule design model in dynamic transit network with uncertainties. An array of uneven headways for each line is designed to optimize the integrated transit service efficiency and reliability. It is formulated as a bi-level problem, by which the transit schedule can be varied so as to make response to the current demand. The objective of the upper level model is to optimize the integrated transit network efficiency and reliability. The lower-level model is a reliability-based transit assignment model, in which uncertainties from both demand and supply side are taken into consideration. The bi-level problem is solved by applying the Genetic algorithm (GA). Finally, a numerical example is used to show the performance of the proposed model and solution algorithm.
