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Integrated Passenger and Freight Train Planning on Shared-Use Corridors

Published: 01 December 2018 Publication History

Abstract

Our study involves the decision-making problems that railway infrastructure managers face in a rail network with dedicated tracks and shared-use corridors. We will analyze the consolidation strategy for shared-use corridors, where the track serves passenger and freight trains. In the stochastic demand case, we will provide an analytical model for the railway infrastructure manager to compute the expected long-term profit using a consolidation system. We will pinpoint the different characteristics of passenger and freight trains, and analytically derive the optimum track allocation and consolidation time, together with the optimum price, in all such cases, using two different model structures, i.e., the additive and the multiplicative forms. We will extend our model further to consider the due-date requirements and volume incentives for railway operators. Our experiments will use realistic parameter values, based on the Dutch railway system.

References

[1]
Abbink E, Van den Berg B, Kroon L, Salomon M (2004) Allocation of railway rolling stock for passenger trains. Transportation Sci. 38(1):33-41.
[2]
Barrena E, Canca D, Coelho LC, Laporte G (2014) Single-line rail rapid transit timetabling under dynamic passenger demand. Transportation Res. Part B: Methodological 70:134-150.
[3]
Beckmann M, McGuire C, Winsten CB (1956) Studies in the Economics of Transportation (Yale University Press, New Haven, CT).
[4]
Be?inovi? N, Goverde RM, Quaglietta E, Roberti R (2016) An integrated micro-macro approach to robust railway timetabling. Transportation Res. Part B: Methodological 87:14-32.
[5]
Billionnet A (2003) Using integer programming to solve the train-platforming problem. Transportation Sci. 37(2):213-222.
[6]
Bookbinder JH, Higginson JK (2002) Probabilistic modeling of freight consolidation by private carriage. Transportation Res. Part E: Logist. Transportation Rev. 38(5):305-318.
[7]
Brännlund U, Lindberg PO, Nou A, Nilsson JE (1998) Railway timetabling using Lagrangian relaxation. Transportation Sci. 32(4):358-369.
[8]
Cacchiani V, Caprara A, Toth P (2010) Scheduling extra freight trains on railway networks. Transportation Res. Part B: Methodological 44(2):215-231.
[9]
Cacchiani V, Huisman D, Kidd M, Kroon L, Toth P, Veelenturf L, Wagenaar J (2014) An overview of recovery models and algorithms for real-time railway rescheduling. Transportation Res. Part B: Methodological 63:15-37.
[10]
Caprara A, Fischetti M, Toth P (2002) Modeling and solving the train timetabling problem. Oper. Res. 50(5):851-861.
[11]
Cargo R (2016) Infrabeheer. Rail Cargo Information Netherlands, http://www.railcargo.nl/spoormarkt/railin/infrabeheer.
[12]
Çetinkaya S, Bookbinder JH (2003) Stochastic models for the dispatch of consolidated shipments. Transportation Res. Part B: Methodological 37(8):747-768.
[13]
Çetinkaya S, Tekin E, Lee CY (2008) A stochastic model for joint inventory and outbound shipment decisions. IIE Trans. 40(3): 324-340.
[14]
Chakroborty P, Vikram D (2008) Optimum assignment of trains to platforms under partial schedule compliance. Transportation Res. Part B: Methodological 42(2):169-184.
[15]
Chang CS, Kwan CM (2004) Evaluation of evolutionary algorithms for multi-objective train schedule optimization. Webb GI, Yu X, eds. AI 2004: Advances in Artificial Intelligence, Lecture Notes Comput. Sci., Vol. 3339 (Springer, Berlin Heidelberg), 803-815.
[16]
Chung JW, Oh SM, Choi IC (2009) A hybrid genetic algorithm for train sequencing in the Korean railway. Omega 37(3):555-565.
[17]
Cordeau JF, Toth P, Vigo D (1998) A survey of optimization models for train routing and scheduling. Transportation Sci. 32(4): 380-404.
[18]
Corman F, D'Ariano A, Pacciarelli D, Pranzo M (2010) A tabu search algorithm for rerouting trains during rail operations. Transportation Res. Part B: Methodological 44(1):175-192.
[19]
Dingler M, Lai YC, Barkan C (2009) Impact of train type heterogeneity on single-track railway capacity. Transportation Res. Record: J. Transportation Res. Board 2117:41-49.
[20]
Dorfman M, Medanic J (2004) Scheduling trains on a railway network using a discrete event model of railway traffic. Transportation Res. Part B: Methodological 38(1):81-98.

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Information & Contributors

Information

Published In

cover image Transportation Science
Transportation Science  Volume 52, Issue 6
December 2018
292 pages

Publisher

INFORMS

Linthicum, MD, United States

Publication History

Published: 01 December 2018
Accepted: 12 July 2017
Received: 15 September 2016

Author Tags

  1. freight consolidation
  2. integrated passenger and freight train planning
  3. shared-use corridors

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