Freight trip distribution using spatiotemporal aggregate data: A modified collective flow diffusion model-based approach

The estimation of freight trip distribution is an important issue in freight transport studies, and collecting data on the spatiotemporal aggregated number of freight vehicles without trip information is relatively easy and inexpensive. In this paper, we propose a new model for freight distribution...

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Bibliographic Details
Main Authors: Tomoya Kawasaki, Yusaku Namba, Hideki Oka, Maxim A. Dulebenets
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Transportation Research Interdisciplinary Perspectives
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590198223001513