A data-driven time supplements allocation model for train operations on high-speed railways-Reference-Cited by-同舟云学术

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A data-driven time supplements allocation model for train operations on high-speed railways

Published:2018-09-14 Issue:2 Volume:7 Page:140-157
ISSN:2324-8378
Container-title:International Journal of Rail Transportation
language:en
Short-container-title:International Journal of Rail Transportation

Author:

Huang Ping¹²³,Wen Chao¹²³,Peng Qiyuan¹²,Lessan Javad³,Fu Liping¹³⁴,Jiang Chaozhe¹²

Affiliation:

1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China

2. National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest JiaotongUniversity, Chengdu, China

3. Railway Research Center, University of Waterloo, Waterloo, Canada

4. Intelligent Transport System Research Center, Wuhan University of Technology, Wuhan, China

Funder

National Nature Science Foundation of China

National Key R&D Program of China

Science & Technology Department of Sichuan Province

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Transportation,Automotive Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23248378.2018.1520613

Reference27 articles.

1. Assessment of flexible timetables in real-time traffic management of a railway bottleneck

2. Optimal allocation of buffer times to increase train schedule robustness

3. Yuan J, Goverde RMP, Hansen JA. Evaluating stochastic train process time distribution models on the basis of empirical detection data. In: J. Allan, C. A. Brebbia, R. J. Hill, G. Sciutto & S. Sone (eds.), Computers in railways X: computer system design and operation in the railway and other transit systems. Vol. 88. 2006. p. 631–640.

4. Bi-objective conflict detection and resolution in railway traffic management

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