Using passenger flows to determine key interchange connections for public transport synchronization

Menno Yap, Ding Luo, Oded Cats

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

For large urban networks and hubs, optimizing transfer synchronization becomes computationally challenging. The objective of this paper is therefore to develop a generic, data-driven methodology to determine the key line/direction-combinations to synchronize based on passenger flows. We developed an approach to detect communities of directional lines based on passenger transfer flows, by calculating modularity using a C-space inspired network representation. Our results show intuitive clusters to prioritize for synchronization on a network level for tactical planning, and on the hub level for real-time coordination.
Original languageEnglish
Title of host publicationProceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018
Subtitle of host publication23-25 July, Brisbane, Australia
Number of pages11
Publication statusPublished - 2018
EventCaspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018 - Brisbane Convention and Exhibition Centre, Brisbane, Australia
Duration: 23 Jul 201825 Jul 2018
Conference number: 14

Conference

ConferenceCaspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018
Abbreviated titleCASPT 2018
CountryAustralia
CityBrisbane
Period23/07/1825/07/18

Keywords

  • Clustering
  • Hubs
  • Passenger flow
  • Synchronization
  • Transfers

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