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Scheduling and routing freight trains with multiple cost functions

Chow, AHF; Tan, E; Ng, B; Pavlides, A; Bablinski, K; (2016) Scheduling and routing freight trains with multiple cost functions. In: Proceedings of the 95th Annual MeetingTransportation Research Board. Transportation Research Board: Washington, DC, USA. Green open access

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Abstract

This study presents a multi-objective optimization model for effectively scheduling and routing freight trains with minimum disruption caused to surrounding train traffic given the existing infrastructure capacity. Most existing timetabling policies around the world favor passenger train operations over the freight ones. The objective of the study is to facilitate freight operations with the proposed methodology. The optimization model is formulated here as a mixed integer program (MIP) which captures simultaneous scheduling and routing options of trains. The optimizer is applied to a real case scenario on the Brighton Main Line (BML) in southeast England. Given the network configuration, the optimizer is shown to be able to schedule and (re-)route requested freight trains with minimized additional costs induced to the system. The authors also examine selected scenario with marginal cost analysis and find that the train allocation process produced by the optimization model is somehow similar to existing practice in small scale applications, while the proposed algorithm is more systematic, generalizable to large-scale applications and multiple cost functions.

Type: Proceedings paper
Title: Scheduling and routing freight trains with multiple cost functions
Event: 95th Annual meeting of the Transportation Research Board
Location: Washington DC
Dates: 10 January 2016 - 14 January 2016
Open access status: An open access version is available from UCL Discovery
Publisher version: https://trid.trb.org/view.aspx?id=1393602
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Case studies; Freight trains; Infrastructure; Optimization; Railroad vehicle operations; Routes and routing; Timetables; Train operations
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1475484
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