Chapter
Aug 12, 2020
Traffic Accident Prediction on Provincial Road Using Fuzzy Neural Network
Authors: Fei Zhao, Ph.D. [email protected], Liping Fu [email protected], Ming Zhong [email protected], Ge Cui, Ph.D. [email protected], and Chengpeng Zheng [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
With the rapid road development and the increase in car ownership in China, road systems are facing unprecedented pressure and various issues. For example, road safety for provincial highways is an issue that is causing concerns due to improper design and lack of surveillance. In order to analyze the traffic safety of provincial highways, a fuzzy neural network model was established to predict various types of traffic accidents. Experiments are conducted based on accident data from 2010 to 2016 for a provincial highway in the Hubei Province. The experiment results show that the average prediction error is around 12%. The model can be applied to micro-prediction of traffic accidents, providing an important scientific basis for similar road accident prediction and security measures.
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Published In
CICTP 2020
Pages: 3959 - 3968
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Aug 12, 2020
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1Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, 1178 Heping Ave., Wuhan, Hubei 430063, PR China. Email: [email protected]
2Professor, Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, 1178 Heping Ave., Wuhan, Hubei 430063, PR China. Email: [email protected]
3Professor, Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, 1178 Heping Ave., Wuhan, Hubei 430063, PR China. Email: [email protected]
4Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, 1178 Heping Ave., Wuhan, Hubei 430063, PR China. Email: [email protected]
5Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, 1178 Heping Ave., Wuhan, Hubei 430063, PR China. Email: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.