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An Enhanced Dynamic User Optimal Passenger Flow Assignment Model for Metro Networks

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  • Hanchuan Pan
  • Zhigang Liu
  • Hua Hu

Abstract

By considering the difference between a car driver’s route choice behavior on the road and a passenger’s route choice behavior in urban rail transit (URT), this paper proposes an enhanced Dynamic User Optimal (DUO) passenger flow assignment model for metro networks. To capture realistic URT phenomena, the model has integrated the train operation disturbance constraint. Real passenger and train data are used to verify the proposed model and algorithm. The results indicate that the DUO-based model is more suitable for describing passenger route choice behavior under uncertain conditions compared to a static model. Moreover, this paper found that passengers under oversaturated conditions are more sensitive to train operation disturbances compared to undersaturated passengers.

Suggested Citation

  • Hanchuan Pan & Zhigang Liu & Hua Hu, 2017. "An Enhanced Dynamic User Optimal Passenger Flow Assignment Model for Metro Networks," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-8, June.
    • Handle: RePEc:hin:jnddns:4035068
    DOI: 10.1155/2017/4035068
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    Cited by:

    1. Chen, Junlan & Pu, Ziyuan & Guo, Xiucheng & Cao, Jieyu & Zhang, Fang, 2023. "Multiperiod metro timetable optimization based on the complex network and dynamic travel demand," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).

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