| Issue |
MATEC Web Conf.
Volume 308, 2020
2019 8th International Conference on Transportation and Traffic Engineering (ICTTE 2019)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 7 | |
| Section | Traffic Data Analysis and Traffic Dispatching | |
| DOI | https://doi.org/10.1051/matecconf/202030801003 | |
| Published online | 12 February 2020 | |
Research on Passenger Flow Early Warning of Urban Rail Transit Station Based on System Dynamics
1 Minjiang University, 350108 Fuzhou, Fujian Province, China
2 Beijing Transportation Information Center, 100044 Beijing, China
a Corresponding author: bowang@bjtu.edu.cn
Large-scale passenger flows occur frequently during the peak hours of urban rail transit stations and on holidays. Thus, the timely and accurate early warning of impending large-scale passenger flows can positively impact the operational safety of the entire station. By further deepening the definition of passenger flow warnings in stations, a new model of urban rail transit station passenger flow based on system dynamics is constructed. The method of determining the key area of passenger flows in the early warning stage based on streamlines is proposed; the key indicators and thresholds affecting early warnings are studied. Finally, taking a typical station as an example, a station model is built using Anylogic software. The parameter sensitivity analysis is used to determine the impact of each key indicator on the passenger flow in the key area of the station early warning, and the reference threshold of each indicator is determined.
© The Authors, published by EDP Sciences, 2020
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