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Stochastic Optimization Model and Solution Algorithm for Robust Double-Track Train-Timetabling Problem

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2 Author(s)
Muhammad Babar Khan ; School of Civil and Environmental Engineering, National University of Sciences and Technology, Islamabad, Pakistan ; Xuesong Zhou

By considering various stochastic disturbances unfolding in a real-time dispatching environment, this paper develops a stochastic optimization formulation for incorporating segment travel-time uncertainty and dispatching policies into a medium-term train-timetabling process that aims to minimize the total trip time in a published timetable and reduce the expected schedule delay. Based on a heuristic sequential solution framework, this study decomposes the robust timetabling problem into a series of subproblems that optimize the slack-time allocation for individual trains. A number of illustrative examples are provided to demonstrate the proposed model and solution algorithms using data collected from a Beijing-Shanghai high-speed rail corridor in China.

Published in:

IEEE Transactions on Intelligent Transportation Systems  (Volume:11 ,  Issue: 1 )