Optimization Design of Passenger Flow in Rail Transit Station in Shanghai Based on Data Mining

DOI

10.2991/macmc-17.2018.108How to use a DOI?

Keywords

rail transit station, passenger flow, optimization, traffic load, anti-resistance

Abstract

According to a report about Shanghai Metro, Metro Line 2 traffic are increasing month by month trend, but capacity has become saturated. Subway passenger flow is a comprehensive passenger and passenger transfer station. In addition to increasing capacity, by ground transportation shunting the transfer passenger flow diverted to other lines of the site. Then large passenger flow of No. 2 line should be relieving the problem solution. By analyzing sample data about 10 working days from April 6, 2015 (Monday) to April 17 (Friday), it can be found that most of the passengers of Lujiazui Station are from the subway station in the northern part of Shanghai. This paper puts forward the optimization scheme -- a new semi-circle line. There are 7 sites from Shanghai West Railway Station of the 11th line to Lujiazui Station. of Line 2. The optimization scheme is compared with actual planning of Shanghai Metro. Construction of new semi-circle line has basic agreement with the Shanghai Metro Planning line 18 and line 21 in 2020-2025. From empirical point of view, this paper proves rationality of optimization scheme.

Copyright

© 2018, 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  - Gang Chen
PY  - 2018/01
DA  - 2018/01
TI  - Optimization Design of Passenger Flow in Rail Transit Station in Shanghai Based on Data Mining
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 583
EP  - 588
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.108
DO  - 10.2991/macmc-17.2018.108
ID  - Chen2018/01
ER  -