2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Study of the Intelligent Analysis and Prediction about Subway Passenger Flow during Large-scale Events

Authors
Jianchu Kang, Songsong Pang, Yan Zhang
Corresponding Author
Jianchu Kang
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.13How to use a DOI?
Keywords
Large-scale events, Subway traffic flow data, Intelligent analysis and forecast.
Abstract
Through analysis of historical data of subway transportation, use the model extracted from the law of normal and large-scale activities’ passenger traffic flow and combine the pattern library established by large-scale events’ attribute information, this paper describes a method that provides a way to forecast the subway traffic passenger flow when a large-scale activity will happen. Before the occurrence of large-scale activities,We analysis and forecast the in and out passenger flow for the stations ,which around the place where the large-scale activity will happen ,and the entire road network which could describe the effect of this activity to the whole network .This system able to provide passengers with a travel reference to ensure the travel speed, security and comfort, and provide an important basis for the traffic management department to realize the effective real-time scheduling .
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.13How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jianchu Kang
AU  - Songsong Pang
AU  - Yan Zhang
PY  - 2013/04
DA  - 2013/04
TI  - Study of the Intelligent Analysis and Prediction about Subway Passenger Flow during Large-scale Events
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.13
DO  - https://doi.org/10.2991/icsem.2013.13
ID  - Kang2013/04
ER  -