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Title:

Modelling and Management of Resilience of Metro Train Operations

Accession Number:

01697641

Record Type:

Component

Abstract:

This paper presents a modelling and analysing framework for resilience of metro operations with respect to small-scale disruptive incidents based upon real world observations. An occurrence of incident during operations directly affect the operation performance, thus the service would not be able to stay on schedule, and hence induce delays and irregularity of service to passengers. In this paper, an event-based simulation model is developed to determine the magnitude of the impact on the affected trains after disruptions. The resilience indicators are introduced to examine and compare the effectiveness of each strategy. The strategies were made based on the parameters of metro schedule: running time, dwelling time and headway of metro trains. These parameters were being systematically analysed herein. The empirical relationships between parameters and resilience measure is also explored.

Supplemental Notes:

This paper was sponsored by TRB committee AP065 Standing Committee on Rail Transit Systems.

Report/Paper Numbers:

19-00309

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Cheang, Kristy
Chan, Timothy
Chow, Andy H F

Pagination:

15p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Subject Areas:

Operations and Traffic Management; Railroads; Security and Emergencies

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-00309

Files:

TRIS, TRB, ATRI

Created Date:

Dec 7 2018 9:33AM