A neural network based car ownership model

Z. (Zhongzhen) Yang, T. Feng

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)

Samenvatting

With the economic growth and the improvement of living standard, car ownership in China increases rapidly. It exerts enormous pressure on transportation services. It is necessary to forecast China car ownership for urban transport planning, transport infrastructure improvement and traffic management in terms of economic level, urban configuration, traffic situation and car-concerned policies. In this paper the main factors affecting car ownership are analyzed and a model to estimate car ownership in China city with the BP neural network technology is developed. The model can take the sudden effect of some external factors such as political and economic factors on car ownership into account.
Originele taal-2Engels
TitelApplications of Advanced Technologies in Transportation Engineering
RedacteurenKumares C. Sinha, T.F. Fwa, Ruey L. Cheu, Der-Horng Lee
UitgeverijAmerican Society of Civil Engineers
ISBN van elektronische versie9780784407301
DOI's
StatusGepubliceerd - 2004
Evenement8th International Conference on Applications of Advanced Technologies in Transportation Engineering (AATTE 2004)

- Beijing, China
Duur: 26 mei 200428 mei 2004
Congresnummer: 8
https://ascelibrary.org/doi/book/10.1061/9780784407301

Congres

Congres8th International Conference on Applications of Advanced Technologies in Transportation Engineering (AATTE 2004)

Verkorte titelAATTE 2004
Land/RegioChina
StadBeijing
Periode26/05/0428/05/04
Internet adres

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