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Safety Evaluation of Traffic Accident Scene Based on Artificial Neural Network

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3 Author(s)
Zhang Wenhui ; Traffic Coll., North East Forestry Univ., Harbin, China ; Li Shengqin ; Wu Biao

Traffic accident often induces traffic bottleneck and affects other vehicles driving. The lengthways region around accident scene becomes dangerous because of comprehensive traffic behaviors, such as lane changing, vehicle merging and vehicle following. In order to research the methods of management in traffic accident scene and avoid secondary accident, evaluation index system of safety in accident scene was established. Membership degree and dimensionless function were adapted to deal with quantitative and qualitative index. The three level BP neutral network model was developed to evaluate safety level in traffic accident scene. The results are shown that the evaluation index is logical and the conclusion is objective.

Published in:

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on  (Volume:1 )

Date of Conference:

10-11 Oct. 2009

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