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A model for medium-term operations planning in an intermodal rail-truck service

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  • Nozick, Linda K.
  • Morlok, Edward K.

Abstract

This paper describes a model developed for medium-term operations planning in an intermodal rail-truck system. It was motivated by the need to redesign such systems to produce 1. (1) more reliable service, 2. (2) multiple service classes, and 3. (3) better equipment and facility utilization. The model is an integer linear program, which is computationally difficult to solve. A heuristic procedure was developed which provides excellent solutions, generally within 1% of the known optimal solution to the relaxed (non-integer) problem. Thus the model and heuristic could be used on large networks. Uses of the model and possible extensions are briefly discussed.

Suggested Citation

  • Nozick, Linda K. & Morlok, Edward K., 1997. "A model for medium-term operations planning in an intermodal rail-truck service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(2), pages 91-107, March.
    • Handle: RePEc:eee:transa:v:31:y:1997:i:2:p:91-107
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    4. Verma, Manish & Verter, Vedat & Zufferey, Nicolas, 2012. "A bi-objective model for planning and managing rail-truck intermodal transportation of hazardous materials," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 132-149.
    5. Tsamboulas, Dimitrios & Vrenken, Huub & Lekka, Anna-Maria, 2007. "Assessment of a transport policy potential for intermodal mode shift on a European scale," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(8), pages 715-733, October.
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    11. Verma, Manish & Verter, Vedat, 2010. "A lead-time based approach for planning rail-truck intermodal transportation of dangerous goods," European Journal of Operational Research, Elsevier, vol. 202(3), pages 696-706, May.
    12. Reis, Vasco & Fabian Meier, J. & Pace, Giuseppe & Palacin, Roberto, 2013. "Rail and multi-modal transport," Research in Transportation Economics, Elsevier, vol. 41(1), pages 17-30.
    13. Ahmad Baubaid & Natashia Boland & Martin Savelsbergh, 2021. "The Value of Limited Flexibility in Service Network Designs," Transportation Science, INFORMS, vol. 55(1), pages 52-74, 1-2.
    14. Bontekoning, Y. M. & Macharis, C. & Trip, J. J., 2004. "Is a new applied transportation research field emerging?--A review of intermodal rail-truck freight transport literature," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(1), pages 1-34, January.
    15. Nils Boysen & Malte Fliedner & Florian Jaehn & Erwin Pesch, 2013. "A Survey on Container Processing in Railway Yards," Transportation Science, INFORMS, vol. 47(3), pages 312-329, August.
    16. Janic, Milan, 2008. "An assessment of the performance of the European long intermodal freight trains (LIFTS)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(10), pages 1326-1339, December.
    17. Yang, Hai & Bell, Michael G. H. & Meng, Qiang, 2000. "Modeling the capacity and level of service of urban transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 34(4), pages 255-275, May.
    18. Kelle, Peter & Song, Jinglu & Jin, Mingzhou & Schneider, Helmut & Claypool, Christopher, 2019. "Evaluation of operational and environmental sustainability tradeoffs in multimodal freight transportation planning," International Journal of Production Economics, Elsevier, vol. 209(C), pages 411-420.
    19. Mingyue Shao & Dongxu Chen & Xiaolong Lu & Xuefei Liu & Zhongzhen Yang, 2023. "Does Drop and Pull Transport Have a Chance? The Case of China," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    20. Alexandra M. Newman & Candace Arai Yano, 2000. "Scheduling Direct and Indirect Trains and Containers in an Intermodal Setting," Transportation Science, INFORMS, vol. 34(3), pages 256-270, August.
    21. Kim, Nam Seok & Van Wee, Bert, 2011. "The relative importance of factors that influence the break-even distance of intermodal freight transport systems," Journal of Transport Geography, Elsevier, vol. 19(4), pages 859-875.
    22. Xiao, Jie & Pachl, Joern & Lin, Boliang & Wang, Jiaxi, 2018. "Solving the block-to-train assignment problem using the heuristic approach based on the genetic algorithm and tabu search," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 148-171.
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