Transit Scheduling Model Research Based on Time-Space Network

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This paper try to develop a transit scheduling model based on the time-space network. The object is using the minimum cost to finish the required trips in time-table with the consideration of certain assumptions and rules. In this paper we deal with the multi-depot vehicle schedule optimization problem, addressed as MDVSP, using one time-space network instead of the traditional connection-based networks. Furthermore, we introduce the concept of open-depot, which means the bus may not return the depot where it started.

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1809-1812

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Natalia Kliewer, Taïeb Mellouli, Leena Suhl A time-space network based exact optimization model for multi-depot bus scheduling European Journal of Operational Research Vol 175(3): 1616-1627, (2006).

DOI: 10.1016/j.ejor.2005.02.030

Google Scholar

[2] ME Berge, CA Hopperstad Demand driven dispatch: A method for dynamic aircraft capacity assignment, models and algorithms Operations research, Vol 41: 153-168, (1993).

DOI: 10.1287/opre.41.1.153

Google Scholar

[3] Kliewer, N, Mellouli, T, and Suhl, L. A new solution model for multi-depot multi-vehicle-type vehicle scheduling in (sub)urban public transport. In Proceedings of the 13th Mini-EURO Conference and the 9th meeting of the EURO working group on transportation, (2002).

Google Scholar

[4] Carpaneto G, Dell'Amico M, Fischetti M, Toth P A branch and bound algorithm for the multiple depot vehicle scheduling problem. Networks 19: 531-548 (1989).

DOI: 10.1002/net.3230190505

Google Scholar

[5] Mesquita M, Paixão JMP Multiple depot vehicle scheduling problem: a new heuristic based on quasi-assignment algorithms. In J-M.R. M Desrochers editor, Proceedings of the fifth international workshop on computer-aided scheduling of public transport, pp.167-180, (1992).

DOI: 10.1007/978-3-642-85968-7_12

Google Scholar

[6] Bertossi A. A, Carraresi. P, Gallo G On some matching problems arising in vehicle scheduling models. Networks 17: 271-281, (1987).

DOI: 10.1002/net.3230170303

Google Scholar

[7] Ribeiro C, Soumis F A column generation approach to the multiple-depot vehicle scheduling problem. Operation Research 42(1): 41-52, (1994).

DOI: 10.1287/opre.42.1.41

Google Scholar