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Please use this identifier to cite or link to this item: http://142.54.178.187:9060/xmlui/handle/123456789/1277
Title: Stochastic Optimization Model and Solution Algorithm for Robust Double-Track Train-Timetabling Problem
Authors: Khan, Muhammad Babar
Zhou, Xuesong
Keywords: Engineering and Technology
Intelligent transportation systems
Rail transportation
Scheduling algorithm
Stochastic processes
Robustness
Delay effects
Dispatching
Job shop scheduling
Delay estimation
Propagation delay
Issue Date: 1-Mar-2010
Publisher: IEEE Transactions on Intelligent Transportation Systems
Abstract: 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.
URI: http://142.54.178.187:9060/xmlui/handle/123456789/1277
ISSN: 1558-0016
Appears in Collections:Proceedings

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