Optimal one-way and roundtrip journeys design by mixed-integer programming

The introduction of multimodal/intermodal networks in transportation problems, especially when considering roundtrips, adds complexity to the models. This article presents two models for the optimization of intermodal trips as a contribution to the integration of transport modes in networks. The fir...

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Veröffentlicht in:Engineering optimization Jg. 49; H. 12; S. 2117 - 2132
Hauptverfasser: Ribeiro, Isabel M., Vale, Cecília
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis 02.12.2017
Taylor & Francis Ltd
Schlagworte:
Formulations
Integer programming
Intermodal
Intermodal transport
Intermodal transportation
mixed binary linear programming
Optimization
roundtrip
Transportation networks
ISSN:0305-215X, 1029-0273
Online-Zugang:Volltext
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Zusammenfassung:The introduction of multimodal/intermodal networks in transportation problems, especially when considering roundtrips, adds complexity to the models. This article presents two models for the optimization of intermodal trips as a contribution to the integration of transport modes in networks. The first model is devoted to one-way trips while the second one is dedicated to roundtrips. The original contribution of this research to transportation is mainly the consideration of roundtrips in the optimization process of intermodal transport, especially because the transport mode between two nodes on the return trip should be the same as the one on the outward trip if both nodes are visited on the return trip, which is a valuable aspect for transport companies. The mathematical formulations of both models leads to mixed binary linear programs, which is not a common approach for this type of problem. In this article, as well as the model description, computational experience is included to highlight the importance and efficiency of the proposed models, which may provide a valuable tool for transport managers.
Bibliographie:ObjectType-Article-1
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ISSN:0305-215X
1029-0273
DOI:10.1080/0305215X.2017.1284831