A fuzzy optimization model for high-speed railway timetable rescheduling
type: Item
instance of: scholarly article
title: A fuzzy optimization model for high-speed railway timetable rescheduling
zbMATH Open document ID: 1257.90027
DOI: 10.1155/2012/827073
author: Li Wang
author: Yong Qin
author: Jie Xu
author: Limin Jia
published in: Discrete Dynamics in Nature and Society
publication date: 2013-02-21T00:00:00Z
review text: Summary: A fuzzy optimization model based on improved symmetric tolerance approach is introduced, which allows for rescheduling high-speed railway timetable under unexpected interferences. The model nests different parameters of the soft constraints with uncertainty margin to describe their importance to the optimization purpose and treats the objective in the same manner. Thus a new optimal instrument is expected to achieve a new timetable subject to little slack of constraints. The section between Nanjing and Shanghai, which is the busiest, of Beijing-Shanghai high-speed rail line in China is used as the simulated measurement. The fuzzy optimization model provides an accurate approximation on train running time and headway time, and hence the results suggest that the number of seriously impacted trains and total delay time can be reduced significantly subject to little cost and risk.
Mathematics Subject Classification ID: 90B35
Mathematics Subject Classification ID: 90B20
Mathematics Subject Classification ID: 90C70
zbMATH DE Number: 6137752
Wikidata QID: Q58700780
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/827073
OpenAlex ID: W2063931350
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description: scientific article; zbMATH DE number 6137752