Journal of Shanghai University(Natural Science Edition) ›› 2023, Vol. 29 ›› Issue (4): 694-704.doi: 10.12066/j.issn.1007-2861.2433
Previous Articles Next Articles
CHEN Leiyu, ZHANG Ruhua, MA Mingdi
Received:
Online:
Published:
Abstract:
Key words: subway stations, emergency evacuation, bottleneck identi?cation, evacuation optimization, AnyLogic
CLC Number:
U 298
CHEN Leiyu, ZHANG Ruhua, MA Mingdi. Anylogic-based bottleneck identification and evacuation organization optimization of large passenger flow in rail transit stations [J]. Journal of Shanghai University(Natural Science Edition), 2023, 29(4): 694-704.
0 / / Recommend
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
URL: https://www.journal.shu.edu.cn/EN/10.12066/j.issn.1007-2861.2433
https://www.journal.shu.edu.cn/EN/Y2023/V29/I4/694