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Reconciling transfer synchronization and service regularity: real-time control strategies using passenger data
Open accessAbstract
Real-time holding control strategies are implemented, among other reasons, in order to protect transfers. In the context of high-frequency services, there is a need to reconcile between striving for single-line regularity and synchronizing inter-line arrivals. Their operationalization depends on the predictions regarding passenger flows across the network. We examine the influence of real-time passenger data on the performance of transfer synchronization control. To this end, we develop two real-time transfer synchronization controllers which make use of different passenger data sources. The controllers differ in their assumptions concerning capacity constraints as well as on-board crowding conditions. The results show that each transferring passenger saves on average 2–10 min thanks to the proposed strategy, while on-board passengers experience a delay of 1–2 min each in most cases. The highest time saving per transferring passenger is obtained when the demand level is low and the controller opts for synchronizing more frequently.Highlights Rule-based holding controller selects transfer synchronization or line regularityThe impact of different passenger data on controller performance is investigatedOn-board crowding conditions are considered by the real-time controllerOn-board occupancy is the most valuable real-time passenger data source
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BusMezzo enforces strict capacity constraints.
“The BusMezzo model enforces strict capacity constraints (Cats et al. 2016; Gavriilidou and Cats 2019).”
From Mitigating bus bunching with real-time crowding information (2023) · cites this paper as Gavriilidou and Cats 2019
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Iliopoulou, C., & Kepaptsoglou, K. (2019) · European Transport Research Review · doi:10.1186/s12544-019-0365-5 · Cited by 59
Mitigating bus bunching with real-time crowding information
Drabicki, A., Kucharski, R., & Cats, O. (2023) · Transportation · doi:10.1007/s11116-022-10270-3 · Cited by 30
Self-citationDrabicki, A., Cats, O., & Kucharski, R. (2021) · 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) · doi:10.1109/mt-its49943.2021.9529310 · Cited by 6
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Metadata
- Authors
- Gavriilidou, A., & Cats, O.
- Affiliations
- Delft University of Technology (NL)
- KTH Royal Institute of Technology (SE)
- Corresponding author
- Cats, Oded
- Venue
- Transportmetrica A: Transport Science
- Publisher
- Informa UK Limited
- Published
- 2018-04-06
- Volume
- 15
- Issue
- 2
- Pages
- 215-243
- ISSN
- 2324-9935 (ISSN-L)
- 2324-9943
- OpenAlex
- W2794811985
- Cited by
- 48
- References
- 0
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 6 · 2023: 7 · 2022: 6 · 2021: 4 · 2020: 10 · 2019: 3 · 2018: 3
- FWCI
- 5.89
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Transportmetrica A Transport Science (publishedVersion, cc-by-nc-nd)
- Research Repository (Delft University of Technology) (submittedVersion, cc-by-nc-nd)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- ADAPT-IT
- VINNOVA
- TRANS-FORM
- Stichting voor de Technische Wetenschappen (438.15.404/298)
- Topics
- Social Sciences › Transportation › Transportation Planning and Optimization
- Social Sciences › Transportation › Railway Systems and Energy Efficiency
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Keywords
- passenger demand forecasting, rule-based controller, capacity constraints
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