Research on Optimization of Passenger Flow Organization in Passenger Transport Stations during Peak Period

DOI

10.2991/ielss-19.2019.77How to use a DOI?

Keywords

Passenger flow organization optimization, Passenger streamline, Peak period, Queuing theory.

Abstract

In the situation of the rapid development of railway transportation and the growth of people's travel demand, how to improve the transportation capacity of railways under the existing conditions has become a serious problem for railway passenger transportation in China. In view of the characteristics of large passenger flow density and complex composition during the peak period of railway stations, this paper starts from the passenger flow organization during the peak period of the passenger station, optimizes the railway passenger flow organization measures and improves the passenger transportation service quality. Finally, the queuing model is established. Through the combination of the theory and the actual situation of Nanchang Station, the passenger flow organization method adapting to the peak demand of Nanchang Station is finally obtained, so as to achieve the goal of passenger traffic safety and efficiency increase during the peak passenger flow.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Daoyuan Wang
PY  - 2019/08
DA  - 2019/08
TI  - Research on Optimization of Passenger Flow Organization in Passenger Transport Stations during Peak Period
BT  - Proceedings of the 1st International Symposium on Innovation and Education, Law and Social Sciences (IELSS 2019)
PB  - Atlantis Press
SP  - 404
EP  - 414
SN  - 2352-5398
UR  - https://doi.org/10.2991/ielss-19.2019.77
DO  - 10.2991/ielss-19.2019.77
ID  - Wang2019/08
ER  -