Research on Train Dwell Time Modeling and Model Application in Metro Station

Zhuge, Chengxiang; Gao, Jian; Wang, Ximeng; Fan, Yanhui; Chen, Junwei; Zhu, Bo

doi:10.1109/icicta.2009.282

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Cited by 3 publications

(2 citation statements)

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“…But the impact of the passenger flow on train dwell time was not considered in this research. It bears nothing that precise calculation of the train dwell time at the stations can improve the operation efficiency of the metro systems [27]. Sheu and Lin [28] designed a dual heuristic programming method for metro train regulation problem.…”

Section: B Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Energy-Saving Metro Train Timetable Rescheduling Model Considering ATO Profiles and Dynamic Passenger Flow

Hou

Dong

Gao

et al. 2019

IEEE Trans. Intell. Transport. Syst.

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Section: B Literature Reviewmentioning

confidence: 99%

“…In other words, they did not consider the actual train dwell time affected by the passenger. According to Zhuge et al [27], the actual train dwell time can be estimated by…”

Section: Constraintsmentioning

confidence: 99%

Energy-Saving Metro Train Timetable Rescheduling Model Considering ATO Profiles and Dynamic Passenger Flow

Hou

Dong

Gao

et al. 2019

IEEE Trans. Intell. Transport. Syst.

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Train passengers' perceptions and preferences for different platform and carriage design features

Yang,

Shiwakoti,

Tay

2024

Journal of Public Transportation

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A novel research on the relation between the number of passengers and the braking distance of a metro

Wang¹,

Li²,

Hei³

2010

WIT Transactions on the Built Environment

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Due to heavy traffic at peak times, it is necessary to ensure that trains have an absolute safety braking distance. For this problem, this paper not only analyzes various factors that influence a metro's stopping time, but also analyzes a time model of a metro's stopping in the station. Secondly, based on the model and combined with the physical process of a metro's approach, this paper calculates the braking distance of oncoming trains. Finally, a novel relation between the number of passengers and the braking distance of an oncoming metro is established. Theoretical analysis and simulation experiments indicate that the braking distance of an oncoming metro can be effectively calculated according to the number of passengers on the platform.

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Research on Train Dwell Time Modeling and Model Application in Metro Station

Cited by 3 publications

References 2 publications

Energy-Saving Metro Train Timetable Rescheduling Model Considering ATO Profiles and Dynamic Passenger Flow

Energy-Saving Metro Train Timetable Rescheduling Model Considering ATO Profiles and Dynamic Passenger Flow

Train passengers' perceptions and preferences for different platform and carriage design features

A novel research on the relation between the number of passengers and the braking distance of a metro

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