Cited by 122Transportation Planning and OptimizationTraffic control and managementRailway Systems and Energy Efficiency

The DOI matches its Crossref record.

Impacts of Holding Control Strategies on Transit Performance: Bus Simulation Model Analysis

Cats, Oded, Larijani, Anahid Nabavi, Koutsopoulos, Haris N., Burghout, Wilco·2011·Transportation Research Record: Journal of the Transportation Research Board

Abstract

Transit operators are interested in strategies to improve service reliability as it is an important measure of performance and level of service. One of the common practices aimed at reducing service unreliability is holding control strategies. The design of these strategies involves the selection of a set of time point stops and the holding criteria for regulating the departure time. The interactions between passenger activity, transit operations, and traffic dynamics must be dynamically modeled to analyze the impacts of holding strategies on transit performance. An evaluation of different holding criteria and the number and location of time point stops was conducted with BusMezzo, a dynamic transit simulation model. The holding strategies were implemented in the model and applied to a high-frequency trunk bus line in Stockholm, Sweden. The analysis of the results considers the implications of holding strategies from both passenger and operator perspectives. The analysis suggests substantial gains are possible by implementing a holding strategy on the basis of the mean headway from the preceding and the succeeding buses. This strategy is the most efficient for passenger time savings as well as fleet costs and crew management.

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Crossref · 10.3141/2216-06

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  • Bus bunching is a common problem in public transport systems, characterized by a negative feedback loop between service headways, number of boarding passengers, and dwell times.

    “A common problem in public transport systems is bus bunching, characterized by a negative feedback loop between service headways, number of boarding passengers and dwell times.”

    From Mitigating bus bunching with real-time crowding information (2023) · cites this paper as Cats et al. 2011b

  • BusMezzo is applicable for investigating bus bunching phenomena and holding and control strategies.

    “Consequently, it is also applicable for investigating the bus bunching phenomena (Moreira-Matias et al. 2016) and holding and control strategies (Cats et al. 2011b; Laskaris et al. 2019; Gkiotsalitis and Cats 2019).”

    From Mitigating bus bunching with real-time crowding information (2023) · cites this paper as Cats et al. 2011b

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Research works printed but not linked: 25

  1. Casey R. F., 2000, Advanced Public Transportation Systems—The State of the Art: Update 2000.
  2. 10.1061/(ASCE)0733-947X(1990)116:1(49) · DOI
  3. 10.3141/2188-02 · DOI
  4. Turnquist M. A., 1980, Transportation Research Record 746, 25
  5. Abkowitz M., 1984, Transportation Research Record 961, 1
  6. 10.1002/atr.5670350206 · DOI
  7. 10.1287/trsc.35.3.215.10150 · DOI
  8. 10.1287/trsc.35.1.1.10143 · DOI
  9. 10.1061/(ASCE)0733-947X(1990)116:4(517) · DOI
  10. 10.1016/0191-2607(86)90079-8 · DOI
  11. 10.3141/1666-04 · DOI
  12. 10.1016/S0965-8564(02)00010-1 · DOI
  13. 10.3141/1791-02 · DOI
  14. CatsO., BurghoutW., ToledoT., and KoutsopoulosH. N. Evaluation of Real-Time Holding Strategies for Improved Bus Service Reliability. Proc. 13th International IEEE Conference on Intelligent Transportation Systems, Funchal, Madeira Island, Portugal, IEEE, Piscataway, N.J. 2010, pp. 718–723. · DOI
  15. Rossetti M. D., 1998, Transportation Research Part A, 32, 607
  16. 10.1016/j.trb.2009.04.002 · DOI
  17. 10.3141/2006-10 · DOI
  18. 10.1016/j.trc.2009.05.016 · DOI
  19. 1999, TCRP Synthesis 34: Data Analysis for Bus Planning and Monitoring.
  20. Burghout W., 2004, Hybrid Microscopic–Mesoscopic Traffic Simulation.
  21. Kittelson & Associates, Inc., KFH Group, Inc., Parsons Brinckerhoff Quade & Douglass, Inc., and K. Hunter-Zaworski, 2003, TCRP Report 100: Transit Capacity and Quality of Service Manual
  22. 10.1016/j.trc.2010.02.008 · DOI
  23. 10.3141/2143-09 · DOI
  24. 10.1016/j.tra.2009.07.006 · DOI
  25. 10.1016/j.tranpol.2004.05.001 · DOI

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Metadata

Authors
Cats, O., Larijani, A. N., Koutsopoulos, H. N., & Burghout, W.
Affiliations
  • Technion – Israel Institute of Technology (IL)
  • KTH Royal Institute of Technology (SE)
Corresponding author
Cats, Oded
Venue
Transportation Research Record: Journal of the Transportation Research Board
Published
2011-01
Volume
2216
Issue
1
Pages
51-58
ISSN
  • 0361-1981 (ISSN-L)
  • 2169-4052
OpenAlex
W2073040622
Cited by
122
References
0
Citations by year
2026: 5 · 2025: 6 · 2024: 2 · 2023: 2 · 2022: 12 · 2021: 13 · 2020: 17 · 2019: 10 · 2018: 10 · 2017: 6 · 2016: 15 · 2015: 11 · 2014: 8 · 2013: 1 · 2012: 3
FWCI
11.52
Type
journal article
Language
en
Open access
closed
Locations
Transportation Research Record Journal of the Transportation Research Board (publishedVersion)
Topics
  • Social Sciences › Transportation › Transportation Planning and Optimization
  • Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
  • Social Sciences › Transportation › Railway Systems and Energy Efficiency
Keywords
service reliability, crew management, level of service

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