Passenger flow control is the main management method conducted in urban rail stations during peak hours when there are large passenger traffic demands. While stations are usually controlled independently in practice, a collaborative passenger flow control model is established based on mathematical programming to minimize the passenger delay by adopting the flow entry rate as the quantitative basis. Then the model is verified using a case study and the results show that coordinative passenger flow control method that this model put forward can effectively improve the transportation capacity utilization and reduce the number of strained passengers. Besides, a sensitivity analysis is conducted, which shows that the departure interval and conveying capacity of the train affect passenger delay most markedly in the process of passenger control.
Coordinative Passenger Flow Control during Peak Hours in Urban Rail Stations
15th COTA International Conference of Transportation Professionals ; 2015 ; Beijing, China
CICTP 2015 ; 1153-1164
2015-07-13
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Passenger Flow Prediction for Urban Rail Transit Stations Considering Weather Conditions
British Library Conference Proceedings | 2020
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