Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)

Analysis and Comparison of Urban Rail Transit Passenger Flow Forecast based on Multiple Methods

Authors
Yiru Cui, Yang Li
Corresponding Author
Yiru Cui
Available Online April 2017.
DOI
https://doi.org/10.2991/iceesd-17.2017.46How to use a DOI?
Keywords
Urban Rail transit; Passenger Flow Forecast.
Abstract
Passenger flow forecast is an important and functional part of urban rail transit operation and management, excellent and accurate passenger flow forecast can guide the operation management to achieve high efficiency and safety. This article mainly discusses the three forecasting models commonly used for passenger flow forecast. In addition, passenger flow data of Beijing urban rail transit were used to do statistical analysis and prediction. Finally, the prediction accuracy, advantages and disadvantages of the three models are compared.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)
Part of series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-328-9
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceesd-17.2017.46How 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  - Yiru Cui
AU  - Yang Li
PY  - 2017/04
DA  - 2017/04
TI  - Analysis and Comparison of Urban Rail Transit Passenger Flow Forecast based on Multiple Methods
BT  - 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)
PB  - Atlantis Press
SP  - 238
EP  - 242
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-17.2017.46
DO  - https://doi.org/10.2991/iceesd-17.2017.46
ID  - Cui2017/04
ER  -