Journal of System Simulation
Abstract
Abstract: The rationality of passenger flow lines design and service facilities distribution inside urban rail transfer station directly affects the passenger's transfer efficiency. The Simulation technology are used to evaluate the station's transfer efficiency, and the optimal plan can be proposed, which can not only avoid the crowded passenger flow, but also improve the efficiency. The features of peak passenger flow are considered, the service level of the passenger's stay time is given, the change of congested area's passenger flow density is expressed in the form of time-varying chart. Combined with the overall chart of the average passenger flow density, the corresponding quantitative evaluation indicators are proposed from two dimensions of space and time. Using Anylogic simulation software, taking the Jiefang Road Station in Changchun city as an example to perform pedestrian modeling and simulation, a facilities distribution and flow lines optimal scheme is proposed; The scheme is simulated and evaluated, and the rationality of the scheme is verified. The results indicate that through the transfer efficiency evaluation system based on the passenger flow density and the stay time of passengers is effective in the scheme optimization, the disadvantages of the spatial layout can be found out.
Recommended Citation
Feng, Liu; Shao, Chunfu; Jia, Hongfei; and Dong, Chunjiao
(2021)
"Simulation Evaluation for Service Facilities Distribution and Flow Lines Optimization on Urban Rail Transfer Station,"
Journal of System Simulation: Vol. 33:
Iss.
7, Article 19.
DOI: 10.16182/j.issn1004731x.joss.20-0206
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol33/iss7/19
First Page
1670
Revised Date
2020-08-15
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0206
Last Page
1681
CLC
TP391.9
Recommended Citation
Liu Feng, Shao Chunfu, Jia Hongfei, Dong Chunjiao. Simulation Evaluation for Service Facilities Distribution and Flow Lines Optimization on Urban Rail Transfer Station[J]. Journal of System Simulation, 2021, 33(7): 1670-1681.
DOI
10.16182/j.issn1004731x.joss.20-0206
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