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

Conference paper (2018)

Authors

M.D. Yap Transport and Planning - CEG
D. Luo Transport and Planning - CEG
O. Cats Transport and Planning - CEG
Research Group
Transport and Planning (CEG) (TU Delft)
Copyright: © 2018 M.D. Yap, D. Luo, O. Cats
Clustering Synchronization Transfers Hubs Passenger flow
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Published Date

2018

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Transport and Planning

Research Group

Transport and Planning

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.