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Title:Cooperative relations among intermodal hubs and transport providers at freight networks using an MPC approach
Authors:J.L. Nabais, R.R. Negenborn, R. Carmona-Benitez, M.A. Botto

Conference:6th International Conference on Computational Logistics (ICCL'15)
Address:Delft, The Netherlands
Date:September 2015

Abstract:The increase in international commerce is pressuring the existent freight networks. The challenge to deliver the desired cargo at the agreed location, with the agreed quantity and on time is increasing. Freight networks are more exposed to unforseen events (e.g., congestions, bad weather conditions) leading to delays compromising the cargo delivery time. Cooperation among different parties present at freight networks are required to accommodate the occurrence of delays. Intermodal hubs are locations at freight networks where multiple parties interact which make them specially suited to update transport decisions in order to respect the cargo due time. A cooperative framework for transport providers and intermodal hubs is proposed in this paper. Cargo assignment is done taking into consideration the final destination, the remaining time until due time of cargo, and the destination reachable time of a given connection using a Model Predictive approach. The cooperation is based on information exchange regarding the amount of cargo at risk of not reaching the destination on time. The terminal searches for a faster connection at the terminal to allocate the cargo on danger such that the final destination is reached on time using a large set of available connections. If a connection is found satisfying the destination and due time, cargo is unloaded into the terminal and waits for the new connection that will deliver the cargo on time. The proposed heuristic is a step towards sustainable and synchromodal transportation networks. Simulation experiments illustrate the validity of these statements.

Reference:Cooperative relations among intermodal hubs and transport providers at freight networks using an MPC approach. J.L. Nabais, R.R. Negenborn, R. Carmona-Benitez, M.A. Botto. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 478-494, September 2015.
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