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Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption

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  • Li Wang

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Xiaoning Zhu

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Rail–truck intermodal terminals are an important type of dry port and play a vital role in inland freight transport. This paper addresses the container loading problem in rail–truck intermodal terminals considering energy consumption under the sustainability concept. We analyze the effect factors of energy efficiency for container loading operations and develop an optimization model to minimize the total handling time and container reshuffling. A genetic algorithm is designed to obtain the optimal container loading sequence. Computational experiments on a specific Chinese rail–truck intermodal terminal were conducted to evaluate the performance of our approach. Results show our approach has a good performance for different sizes, and the total handing time, reshuffling times and energy consumption of the handling task are prominently decreased.

Suggested Citation

  • Li Wang & Xiaoning Zhu, 2019. "Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption," Sustainability, MDPI, vol. 11(8), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2383-:d:224901
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    Cited by:

    1. Ercan Kurtulus & Ismail Bilge Cetin, 2019. "Assessing the Environmental Benefits of Dry Port Usage: A Case of Inland Container Transport in Turkey," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    2. Amir Gharehgozli & Debjit Roy & Suruchika Saini & Jan-Kees Ommeren, 2023. "Loading and unloading trains at the landside of container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(3), pages 549-575, September.
    3. Guo, Xiaoyan & He, Junliang & Yu, Hang & Liu, Mei, 2023. "Carbon peak simulation and peak pathway analysis for hub-and-spoke container intermodal network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    4. Kaidabettu, Chiraag Dinesh & Lange, Ann-Kathrin & Jahn, Carlos, 2021. "Gantry crane scheduling and storage techniques in rail-road terminals," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 457-492, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    5. Mehran Farzadmehr & Valentin Carlan & Thierry Vanelslander, 2023. "Contemporary challenges and AI solutions in port operations: applying Gale–Shapley algorithm to find best matches," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-44, December.
    6. Gang Ren & Xiaohan Wang & Jiaxin Cai & Shujuan Guo, 2021. "Allocation and Scheduling of Handling Resources in the Railway Container Terminal Based on Crossing Crane Area," Sustainability, MDPI, vol. 13(3), pages 1-24, January.

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