Analysis of subway station capacity with the use of queueing theory
mode - subway/metro, place - asia, operations - capacity
Subway station capacity, Response surface methodology, Queuing network, Remaining passengers, Incoming passenger control
A new concept of subway station capacity (SSC) is defined according to the gathering and scattering process. A queuing network analytical model of station is created for calculating SSC, which is built by M/G/C/C state dependent queuing network and discrete time Markov chain (DTMC). Based on the definition and the analytical queuing network, a SSC optimization model is developed, whose objective function is to optimize SSC with a satisfactory rate of remaining passengers. Besides, a solution to the model is proposed integrating response surface methodology with iterative generalized expansion method (IGEM) and DTMC. A case study of Beijing Station in Beijing subway line 2 is implemented to verify the validity and practicability of the proposed methods by comparison with simulation model in different experiments. Finally, some sensitivity analysis results are provided to identify the nodes that have the greatest impact on SSC.
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Xu, X., Liu, J., Li, H., & Hu, J.,Q (2014). Analysis of subway station capacity with the use of queueing theory. Transportation Research Part C: Emerging Technologies Volume 38, January 2014, Pages 28–43.
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