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 language | English |
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Title of host publication | Proceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018 |
Subtitle of host publication | 23-25 July, Brisbane, Australia |
Number of pages | 11 |
Publication status | Published - 2018 |
Event | Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018 - Brisbane Convention and Exhibition Centre, Brisbane, Australia Duration: 23 Jul 2018 → 25 Jul 2018 Conference number: 14 |
Conference
Conference | Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018 |
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Abbreviated title | CASPT 2018 |
Country/Territory | Australia |
City | Brisbane |
Period | 23/07/18 → 25/07/18 |
Keywords
- Clustering
- Hubs
- Passenger flow
- Synchronization
- Transfers