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TRAFFIC ACCIDENT FACTOR ANALYSIS BYQUANTITATIVE PERCEPTION-ACTION MODELOF DRIVERS

机译:驾驶员交通事故影响因素定量感知模型

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This study considers a case where a traffic accident occurs with a probabilitywhen a current driving pattern continues without any avoidance action like deceleration.The accident probability, which is objective in nature, is assessed subjectively by thedriver. An avoidance action is likely to be taken when the subjective probability exceedsa maximum acceptable value, whereas the current driving pattern continues otherwise.Such a driver model based on a perception of hazards and execution of avoidance action isproposed. Traffic accident prevention measures are then classified according to the eventtree derived from driver model.
机译:这项研究考虑了一种情况,即当当前的驾驶模式继续行驶而没有诸如减速之类的任何回避动作时,发生交通事故的可能性很高。事故概率是客观的,由驾驶员主观评估。当主观概率超过最大可接受值时,有可能采取回避措施,否则将继续当前的驾驶模式。提出了一种基于对危险的感知并执行回避行为的驾驶员模型。然后根据从驾驶员模型得出的事件树对交通事故预防措施进行分类。

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  • 会议地点 Nagoya(JP)
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    Intelligent Systems Institute National Institute of Advanced Industrial Science andTechnology AIST Tsukuba East Tsukuba Ibaraki 305-8564 JAPANPHONE: +81-29-861-7119 FAX: +81-29-861-7119okabe-kohei@aist.go.jp;

    Dept. of Systems Science Graduate School of Informatics Kyoto University Yoshida Honmachi Sakyo-ku Kyoto 606-8501 JAPANPHONE: +81-75-753-3369 FAX: +81-75-753-3293kumamoto@I.kyoto-u.ac.jp;

    Dept. of Systems Science Graduate School of Informatics Kyoto University Yoshida Honmachi Sakyo-ku Kyoto 606-8501 JAPAN;

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