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Modeling and Performance Assessment of Intermodal Transfers at Cargo Terminals Chen, Cheng-Chieh ; Schonfeld, Paul

By: Contributor(s): Series: Transportation Research Record: Journal of the Transportation Research Board ; 2162Publication details: Washington DC Transportation Research Board, 2010Description: s. 53-62ISBN:
  • 9780309142922
Subject(s): Bibl.nr: VTI P8167:2162Location: TRBAbstract: This study develops an analytical model for coordinating vehicle schedules and cargo transfers at cargo terminals to improve system operational efficiency and minimize total system costs. The studied problem is formulated as a multihub, multimode, and multicommodities network problem with nonlinear time value functions for shipped cargo. This is done primarily by optimizing service frequencies and slack times for system coordination while also considering loading and unloading, storage, and cargo processing operations at the transfer terminals. In a series of case studies, the model has shown its ability to determine optimal service frequencies (or headways) and slack times based on given inputs. Numerical results are solved using sequential quadratic programming and a genetic algorithm.
Item type: Reports, conferences, monographs
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Statens väg- och transportforskningsinstitut Available

This study develops an analytical model for coordinating vehicle schedules and cargo transfers at cargo terminals to improve system operational efficiency and minimize total system costs. The studied problem is formulated as a multihub, multimode, and multicommodities network problem with nonlinear time value functions for shipped cargo. This is done primarily by optimizing service frequencies and slack times for system coordination while also considering loading and unloading, storage, and cargo processing operations at the transfer terminals. In a series of case studies, the model has shown its ability to determine optimal service frequencies (or headways) and slack times based on given inputs. Numerical results are solved using sequential quadratic programming and a genetic algorithm.