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Discrete time dynamic estimation model for passenger origin/destination matrices on transit networks

Author

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  • Nguyen, S.
  • Morello, E.
  • Pallottino, S.

Abstract

This paper addresses the problem of estimating or updating a passenger trip matrix for transit networks from passenger courts. An extension of a model to take into account time information contained in the passenger counts is developed. Several promising optimization formulations of the resulting model are presented and implementation issues are examined.

Suggested Citation

  • Nguyen, S. & Morello, E. & Pallottino, S., 1988. "Discrete time dynamic estimation model for passenger origin/destination matrices on transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 22(4), pages 251-260, August.
    • Handle: RePEc:eee:transb:v:22:y:1988:i:4:p:251-260
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    Cited by:

    1. Li, Guoyuan & Chen, Anthony, 2022. "Frequency-based path flow estimator for transit origin-destination trip matrices incorporating automatic passenger count and automatic fare collection data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    2. Flurin S. Hänseler & Nicholas A. Molyneaux & Michel Bierlaire, 2017. "Estimation of Pedestrian Origin-Destination Demand in Train Stations," Transportation Science, INFORMS, vol. 51(3), pages 981-997, August.
    3. Hänseler, Flurin S. & Bierlaire, Michel & Scarinci, Riccardo, 2016. "Assessing the usage and level-of-service of pedestrian facilities in train stations: A Swiss case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 106-123.
    4. Blume, Steffen O.P. & Corman, Francesco & Sansavini, Giovanni, 2022. "Bayesian origin-destination estimation in networked transit systems using nodal in- and outflow counts," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 60-94.
    5. Wu, Jifeng, 1997. "A real-time origin-destination matrix updating algorithm for on-line applications," Transportation Research Part B: Methodological, Elsevier, vol. 31(5), pages 381-396, October.
    6. Felipe Zúñiga & Juan Carlos Muñoz & Ricardo Giesen, 2021. "Estimation and prediction of dynamic matrix travel on a public transport corridor using historical data and real-time information," Public Transport, Springer, vol. 13(1), pages 59-80, March.
    7. Linzhong Liu & Haibo Mu & Juhua Yang, 2017. "Toward algorithms for multi-modal shortest path problem and their extension in urban transit network," Journal of Intelligent Manufacturing, Springer, vol. 28(3), pages 767-781, March.

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