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

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/).

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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  -