An integrated freight traffic assignment model for multimodal transport: a super-network approach addressing commodity and mode competition in large-scale regions

Guihua Deng; Ming Zhong; John Douglas Hunt; Asif Raza

doi:10.1117/12.3054651

20 December 2024 An integrated freight traffic assignment model for multimodal transport: a super-network approach addressing commodity and mode competition in large-scale regions

Guihua Deng, Ming Zhong, John Douglas Hunt, Asif Raza

Author Affiliations +

Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 134212J (2024) https://doi.org/10.1117/12.3054651
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China

Abstract

This paper presents an integrated Freight Traffic Assignment Model (FTAM) using a super-network approach to effectively address large regions, multiple commodities, and various transport modes. By connecting mode-specific networks, the model captures complex freight behaviors and introduces generalized impedance functions considering factors like commodity values and loading/unloading times. Applied to the Yangtze River Economic Belt, it demonstrates over 95% accuracy in predicting freight flows, with mode share errors under 5%. This model offers crucial insights for policymakers in freight transport dynamics.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Guihua Deng, Ming Zhong, John Douglas Hunt, and Asif Raza "An integrated freight traffic assignment model for multimodal transport: a super-network approach addressing commodity and mode competition in large-scale regions", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 134212J (20 December 2024); https://doi.org/10.1117/12.3054651

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