Queuing System Simulation Optimization of Subway Stair Width

Abstract

Abstract: Subway stair and passenger flow are described as a G/G(n, φ)/C/C state-dependent queuing system with a general random arrival interval and the general random service time that depends on the passengers number n and stair gradient φ. Simulation model of the queuing system was designed and optimization algorithm was developed. Thus, a new optimization method based on queuing system simulation for subway stair width was proposed. The simulation optimization method, the M/G(n)/C/C, and the D/D/1/C queuing model (the existing design code) were compared. The results show that: the stair widths of the proposed method are larger than those of the other two methods and satisfy the desired level of service under various passenger flows, while widths of the other two methods fail to meet the requirement in most cases; the new method brings significant improvement in performance measures and has high elasticity coefficient of performance measures.

Key words: urban rail transit, width design, simulation optimization, stair, randomness, state-dependence

CLC Number:

U291.69

Jiang Yangsheng, Zhu Juanxiu, Hu Lu, Han Shifan. Queuing System Simulation Optimization of Subway Stair Width[J]. Journal of System Simulation, 2016, 28(1): 129-138.

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