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dc.contributor.authorNannapaneni, Saideep
dc.contributor.authorDubey, Abhishek
dc.identifier.citationNannapaneni, Saideep; Dubey, Abhishek. 2019. Towards demand-oriented flexible rerouting of public transit under uncertainty. SCOPE 2019 - Proceedings of the 2019 International Science of Smart City Operations and Platforms Engineering 15 April 2019, pp 35-40en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThis paper proposes a flexible rerouting strategy for the public transit to accommodate the spatiooral variation in the travel demand. Transit routes are typically static in nature, i.e., the buses serve well-defined routes; this results in people living in away from the bus routes choose alternate transit modes such as private automotive vehicles resulting in ever-increasing traffic congestion. In the flex-transit mode, we reroute the buses to accommodate high travel demand areas away from the static routes considering its spatiooral variation. We perform clustering to identify several flex stops; these are stops not on the static routes, but with high travel demand around them. We divide the bus stops on the static routes into critical and non-critical bus stops; critical bus stops refer to transfer points, where people change bus routes to reach their destinations. In the existing static scheduling process, some slack time is provided at the end of each trip to account for any travel delays. Thus, the additional travel time incurred due to taking flexible routes is constrained to be less than the available slack time. We use the percent increase in travel demand to analyze the effectiveness of the rerouting process. The proposed methodology is demonstrated using real-world travel data for Route 7 operated by the Nashville Metropolitan Transit Authority (MTA).en_US
dc.description.sponsorshipNational Science Foundation under the award number CNS-1528799 and CNS-1647015, and the Vanderbilt Initiative on Smart City Operations and Research, a trans-institutional initiative funded by the Vanderbilt University.en_US
dc.publisherAssociation for Computing Machinery, Inc.en_US
dc.relation.ispartofseries4th International Science of Smart City Operations and Platforms Engineering, SCOPE 2019;
dc.subjectPublic transiten_US
dc.titleTowards demand-oriented flexible rerouting of public transit under uncertaintyen_US
dc.typeConference paperen_US
dc.rights.holder© 2019 ACM, Inc.en_US

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