Abstract:Urban rail transit is costly and often overloaded. Thus, the motivation of this paper is to develop specific operating strategies to reduce cost and improve service level. This paper proposed a numerical optimization technique to optimize non-uniform metro train timetables with time-varying passenger demands, where the total monetary cost of time and energy is minimized. The problem was formulated with a constrained, non-smooth, nonlinear programming model, and transformed into an unconstrained one by the prop… Show more
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