HIGH-SPEED RAILWAY PASSENGERS’ CHOICES OF TRAVEL FORECAST BASED ON MATLAB NEURAL NETWORK

Li Jing, Gao Yue, Fan Yuhang

Abstract

As a newly developing mode of transportation, high-speed railway is expanding its influences on national economy and social life. At present, domestic research on high-speed railway mostly focus on tech level, no systematic and comprehensive research have been done to the aspect of passenger travel. This study taking uses of Matlab 6.6 concentrates on environmental factors’ effects on travel choices of High-speed railway passengers, building up a forecast model based on BP Artificial Neural network. Through the comparison and analysis of predicted and real data, effectiveness of this method is proved.

References

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Paper Citation


in Harvard Style

Jing L., Yue G. and Yuhang F. (2011). HIGH-SPEED RAILWAY PASSENGERS’ CHOICES OF TRAVEL FORECAST BASED ON MATLAB NEURAL NETWORK . In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8425-54-6, pages 254-258. DOI: 10.5220/0003478302540258


in Bibtex Style

@conference{iceis11,
author={Li Jing and Gao Yue and Fan Yuhang},
title={HIGH-SPEED RAILWAY PASSENGERS’ CHOICES OF TRAVEL FORECAST BASED ON MATLAB NEURAL NETWORK},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2011},
pages={254-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003478302540258},
isbn={978-989-8425-54-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - HIGH-SPEED RAILWAY PASSENGERS’ CHOICES OF TRAVEL FORECAST BASED ON MATLAB NEURAL NETWORK
SN - 978-989-8425-54-6
AU - Jing L.
AU - Yue G.
AU - Yuhang F.
PY - 2011
SP - 254
EP - 258
DO - 10.5220/0003478302540258