Using passenger flows to determine key interchange connections for public transport synchronization
Menno Yap (TU Delft - Transport and Planning)
Ding Luo (TU Delft - Transport and Planning)
Oded Cats (TU Delft - Transport and Planning)
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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.