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
- 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.
- Copyright
- © 2017, 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/).
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 - Proceedings of the 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 - 10.2991/iceesd-17.2017.46 ID - Cui2017/04 ER -