Abstract
Inland waterway transport is becoming attractive due to its minimum environmental impact in comparison with other transportation modes. Fixed timetables and routes are adopted by most barge operators, avoiding the full utilization of the available resources. Therefore a flexible model is adopted to reduce the transportation cost and environmental impacts. This paper regards the route optimization of barges as a pickup and delivery problem (PDP). A Mixed Integer Programming (MIP) model is proposed to formulate the PDP with transshipment of barges, and an Adaptive Large Neighborhood Search (ALNS) is developed to solve the problem efficiently. The approach is evaluated based on a case study in the Rhine Alpine corridor and it is shown that ALNS is able to find good solutions in reasonable computation times. The results show that the cost is lower when there is more flexibility. Moreover, the cost comparison shows that transshipment terminals can reduce the cost for barge companies.
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Acknowledgments
This research is financially supported by the China Scholarship Council under Grant 201906950085 and the project “Complexity Methods for Predictive Synchromodality” (project 439.16.120) of the Netherlands Organisation for Scientific Research (NWO). In the meantime, we would like to express our sincere thanks to the reviewers for the constructive and positive comments.
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Zhang, Y., Atasoy, B., Souravlias, D., Negenborn, R.R. (2020). Pickup and Delivery Problem with Transshipment for Inland Waterway Transport. In: Lalla-Ruiz, E., Mes, M., Voß, S. (eds) Computational Logistics. ICCL 2020. Lecture Notes in Computer Science(), vol 12433. Springer, Cham. https://doi.org/10.1007/978-3-030-59747-4_2
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