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Authors: Long Chen-xu ; Li Jing and Gao Yue

Affiliation: Beijing Jiaotong University, China

ISBN: 978-989-8425-54-6

Keyword(s): Genetic algorithm, High-speed railway, Forecast analysis, Modal split.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Behavior Study in ITS ; Enterprise Information Systems

Abstract: Genetic algorithm is a new optimizing searching method based on biology evolutionary theory. Just as evolution deals in populations of individuals, genetic algorithms mimic nature by evolving huge churning populations of code, all processing and mutating at once. With the frequency of passenger travel speeding up and passenger's demand to the quality of life higher and higher, passengers have higher and higher demands to the travel. Especially in environment, comfort and quick aspect, different passenger focuses on different aspects, therefore, before the research, we must classify the passenger. This paper applies British Sheffield university GA toolbox, with the application of matlab, finally makes a forecast analysis. Because the forecast analysis is based on the questionnaire during the Spring Festival, so the emphasize on the travel choice made by the passengers in this certain circumstances is necessary. In addition, the forecast analysis will be more or less different with othe r forecast analysis normally. (More)

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Paper citation in several formats:
Chen-xu, L.; Jing, L. and Yue, G. (2011). HIGH-SPEED RAILWAY BASED ON GENETIC ALGORITHM FOR PREDICTION OF TRAVEL CHOICE.In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8425-54-6, pages 26-31. DOI: 10.5220/0003433400260031

@conference{iceis11,
author={Long Chen{-}xu. and Li Jing. and Gao Yue.},
title={HIGH-SPEED RAILWAY BASED ON GENETIC ALGORITHM FOR PREDICTION OF TRAVEL CHOICE},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2011},
pages={26-31},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003433400260031},
isbn={978-989-8425-54-6},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - HIGH-SPEED RAILWAY BASED ON GENETIC ALGORITHM FOR PREDICTION OF TRAVEL CHOICE
SN - 978-989-8425-54-6
AU - Chen-xu, L.
AU - Jing, L.
AU - Yue, G.
PY - 2011
SP - 26
EP - 31
DO - 10.5220/0003433400260031

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