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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
20.06.2024
DOI
https://doi.org/10.7307/ptt.v36i3.531
ISSUE
2024 (Vol 36), Issue 3
LICENSE
Copyright (c) 2024 Jun-Hua Guo, Jiang-Yong Wan, Wu-Yang Yuan; Jun-Jie Liu
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Collaborative Optimisation of High-Speed Rail Express Line Planning and Freight Flow Allocation Considering Multiple Transportation Modes and Products

Authors:Jun-Hua Guo, Jiang-Yong Wan, Wu-Yang Yuan; Jun-Jie Liu

Abstract

With the development of high-speed railway (HSR) systems, high-speed rail express delivery (HSReD) is currently the growing trend in railway cargo transport. The decisions on line planning and freight flow allocation are two of the main problems for the practical operation of HSReD. This paper focuses on integrating the above issues, considering differentiated transportation modes and products. A collaborative optimisation model is developed to maximise the benefits of freight transport. Numerical experiments are conducted based on the Beijing-Shanghai HSR. The results show that the collaborative optimisation model gets a 7.96% higher freight-demand fulfilment rate and an 18.64% increase in the profit rate, compared with the two-stage model under the same network conditions and parameter settings. Some operational implications are also obtained based on the sensitivity analysis, which is potentially useful for optimising the daily operation management of HSReD.

Keywords:high-speed rail express delivery, line planning, freight flow distribution, collaborative optimisation model

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