Data-driven disruption response planning for a Mass Rapid Transit System

Chunling Luo*, Xinrong Li, Yuan Zhou, Aakil M. Caunhye, Umberto Alibrandi, Nazli Y. Aydin, Carlo Ratti, David Eckhoff, Iva Bojic

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper studies the disruption management of a Mass Rapid Transit (MRT) network with data obtained from transportation smart cards. We introduce an optimization model for the development of efficient bus bridging services to minimize the negative effects of MRT disruption. Compared with existing approaches, our model considers the available capacity of existing buses when designing the routes and headways/frequencies of bus bridging services. The proposed model is demonstrated through one case study that assumes MRT disruption in the central business district area of Singapore. The case study shows that our approach can effectively reduce the travel delay of commuters and increase the number of commuters that can be served.
Original languageEnglish
Title of host publicationSmart Transportation Systems 2019
EditorsXiaobo Qu, Lu Zhen, Lakhmi C. Jain, Robert J. Howlett
PublisherSpringer Science and Business Media Deutschland GmbH
Pages205-213
Number of pages9
ISBN (Print)9789811386824
DOIs
Publication statusPublished - 7 Jun 2019
Event2nd KES International Symposium on Smart Transportation Systems, KES-STS 2019 - St. Julians, Malta
Duration: 17 Jun 201919 Jun 2019

Publication series

NameSmart Innovation, Systems and Technologies
Volume149
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference2nd KES International Symposium on Smart Transportation Systems, KES-STS 2019
Country/TerritoryMalta
CitySt. Julians
Period17/06/1919/06/19

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