Citation

Chen XM, Gao L, Wei ZH, Li QF. Beijing Gongye Daxue Xuebao 2007; 33(7): 697-701.

Affiliation

School of Mechanical and vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China

Copyright

(Copyright © 2007, Beijing University of Technology)

DOI

unavailable

PMID

unavailable

Abstract

Driver's factors are very important for the traffic safety. Questionnaire and BP neural network are used, the neural network structure with different hidden layer, neuron number and transfer function is established considering many parameters, such as age, gender, accumulative driving time, physiological conditions, etc. The optimal neural network structure is obtained to predict the traffic accident rate. The results show that the neural network is available for the prediction of accident rate and the driver subgroups with accident proneness are identified.