2006Unpublished venueRequires access

Modelling Multimodal Freight Transport: Impacts of Network Improvement in Urban Areas on Inter-Regional Freight Transport

Bona Frazila Russ, Tadashi Yamada, Jun T. Castro, Tatsuhide Ito

Open publisher page 3 citations

Abstract

This paper proposes an optimization model that determines the best combination of infrastructure improvements and investigates the impact of urban and surrounding network improvements on inter-regional freight transport. The model uses bi-level programming, where the lower level problem describes the multimodal multi-user assignment technique and the upper level problem optimizes the best combination of network improvements using genetic algorithm-based procedures. Model application to the actual freight network in Java Island reveals that the best combination of network improvements is a mixed-type set of improvements located inside and outside the cities.

About this research paper

What this paper is about

This paper proposes an optimization model that determines the best combination of infrastructure improvements and investigates the impact of urban and surrounding network improvements on inter-regional freight transport. The model uses bi-level programming, where the lower level problem describes the multimodal multi-user assignment technique and the upper level problem optimizes the best combination of network improvements using genetic algorithm-based procedures. Model application to the actual freight network in Java Island reveals that the best combination of network improvements is a mixed-type set of improvements located inside and outside the cities.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper proposes an optimization model that determines the best combination of infrastructure improvements and investigates the impact of urban and surrounding network improvements on inter-regional freight transport. The model uses bi-level programming, where the lower level problem describes the multimodal multi-user assignment technique and the upper level problem optimizes the best combination of network improvements using genetic algorithm-based procedures. Model application to the actual freight network in Java Island reveals that the best combination of network improvements is a mixed-type set of improvements located inside and outside the cities.

Key concepts: Multimodal transport, Transport network, Computer science, Set (abstract data type), Flow network, Genetic algorithm, Transport engineering, Programming paradigm

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