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

Menno Yap; Ding Luo; Oded Cats

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

Menno Yap, Ding Luo, Oded Cats

Transport and Planning

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-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 language	English
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
Abbreviated title	CASPT 2018
Country/Territory	Australia
City	Brisbane
Period	23/07/18 → 25/07/18

Keywords

Clustering
Hubs
Passenger flow
Synchronization
Transfers

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CASPT_2018_paper_47Accepted author manuscript, 621 KB

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@inproceedings{2bd89d5585774e4dac8c9d5ce3e1e3f3,

title = "Using passenger flows to determine key interchange connections for public transport synchronization",

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.",

keywords = "Clustering, Hubs, Passenger flow, Synchronization, Transfers",

author = "Menno Yap and Ding Luo and Oded Cats",

year = "2018",

language = "English",

booktitle = "Proceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018",

note = "Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018, CASPT 2018 ; Conference date: 23-07-2018 Through 25-07-2018",

}

Yap, M, Luo, D & Cats, O 2018, Using passenger flows to determine key interchange connections for public transport synchronization. in Proceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018: 23-25 July, Brisbane, Australia., 47, Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018, Brisbane, Australia, 23/07/18.

Using passenger flows to determine key interchange connections for public transport synchronization. / Yap, Menno; Luo, Ding; Cats, Oded.
Proceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018: 23-25 July, Brisbane, Australia. 2018. 47.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Using passenger flows to determine key interchange connections for public transport synchronization

AU - Yap, Menno

AU - Luo, Ding

AU - Cats, Oded

N1 - Conference code: 14

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Clustering

KW - Hubs

KW - Passenger flow

KW - Synchronization

KW - Transfers

M3 - Conference contribution

BT - Proceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018

T2 - Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018

Y2 - 23 July 2018 through 25 July 2018

ER -

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

Abstract

Conference

Keywords

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