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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Comprehensive Analysis of Risky Driving Behaviors Based on Fuzzy Evaluation Model
verfasst von : Yulong Pei, Weiwei Qi, Xupeng Zhang, Mo Song
Erschienen in: Advances in Future Computer and Control Systems
Verlag: Springer Berlin Heidelberg
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With the rapid development of the economy and society, people living in the city are faced with increasing pressures of life and working, thus leading to increasing risky driving behaviors, which severely threaten the driving conditions and the property safety of traffic participants. Therefore, it is a brand new start of traffic safety research to evaluate and sort different types of risky driving behaviors. Based on the statistics of traffic accident, we established a model base on fuzzy comprehensive evaluation to evaluate the influence on the vehicle damage under different risky driving behaviors. Through calculation, we can see that the risk degree of different risky driving behaviors based on the vehicle damage ranged in descending order as follows: risky lane changes, illegal occupation, frequent lane changes, illegal turning, inadequate longitudinal separation, rolling on markings, illegal u-turning, violation of signal and rolling on stop lines.