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Comparing static and dynamic threshold based control strategies

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  • Rossetti, Manuel D.
  • Turitto, Timothy

Abstract

This research extends a static threshold based control strategy used to control headway variation to a dynamic threshold based control strategy. In the static strategy, buses are controlled by setting a threshold value that holds buses at a control point for a certain amount of time before allowing the bus to continue along the route. The threshold remains constant each time the bus stops at the control point. The dynamic strategy involves the same principle of holding buses at a bus stop; however, a different threshold value is chosen each time the bus holds at a control point. The results indicate that in cases where the static threshold is set equal to the scheduled headway, very low headway variation and passenger system times result; however, passengers on board the bus are penalized by extra delay on the bus while waiting at the control point. The dynamic strategy reduces the penalty to passengers delayed on-board the bus at a control point at the expense of a slight increase in overall passenger system time.The results indicate that in most cases, the tradeoff of the slight increase in waiting time for the significant decrease in on-board delay penalty makes the dynamic strategy an acceptable choice.

Suggested Citation

  • Rossetti, Manuel D. & Turitto, Timothy, 1998. "Comparing static and dynamic threshold based control strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(8), pages 607-620, November.
  • Handle: RePEc:eee:transa:v:32:y:1998:i:8:p:607-620
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    References listed on IDEAS

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    1. Adamski, Andrzej, 1992. "Probabilistic models of passengers service processes at bus stops," Transportation Research Part B: Methodological, Elsevier, vol. 26(4), pages 253-259, August.
    2. Arnold Barnett, 1974. "On Controlling Randomness in Transit Operations," Transportation Science, INFORMS, vol. 8(2), pages 102-116, May.
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    Cited by:

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    2. Vee-Liem Saw & Lock Yue Chew, 2020. "No-boarding buses: Synchronisation for efficiency," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-34, March.
    3. Gkiotsalitis, K. & Cats, O., 2021. "At-stop control measures in public transport: Literature review and research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    4. Pilachowski, Joshua Michael, 2009. "An Approach to Reducing Bus Bunching," University of California Transportation Center, Working Papers qt6zc5j8xg, University of California Transportation Center.
    5. Vismara, Luca & Chew, Lock Yue & Saw, Vee-Liem, 2021. "Optimal assignment of buses to bus stops in a loop by reinforcement learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    6. Jariyasunant, Jerald & Work, Daniel B. & Kerkez, Branko & Sengupta, Raja & Glaser, Steven & Bayen, Alexandre, 2011. "Mobile Transit Trip Planning with Real-Time Data," University of California Transportation Center, Working Papers qt51t364vz, University of California Transportation Center.

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