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高负荷驾驶任务下驾驶员注意力状态概率模型

郭孜政 陈崇双 陈亚青

郭孜政, 陈崇双, 陈亚青. 高负荷驾驶任务下驾驶员注意力状态概率模型[J]. 西南交通大学学报, 2009, 22(4): 541-546.
引用本文: 郭孜政, 陈崇双, 陈亚青. 高负荷驾驶任务下驾驶员注意力状态概率模型[J]. 西南交通大学学报, 2009, 22(4): 541-546.
GUO Zizheng, CHEN Chongshuang, CHEN Yaqing. Probability Model for Driver Attention State under High Driving Load[J]. Journal of Southwest Jiaotong University, 2009, 22(4): 541-546.
Citation: GUO Zizheng, CHEN Chongshuang, CHEN Yaqing. Probability Model for Driver Attention State under High Driving Load[J]. Journal of Southwest Jiaotong University, 2009, 22(4): 541-546.

高负荷驾驶任务下驾驶员注意力状态概率模型

基金项目: 

国家自然科学基金资助项目(70422201)

国家863计划项目(2006AA12A104)

详细信息
    作者简介:

    郭孜政(1982- ),男,博士研究生,研究方向为交通运输规划与管理,电话:13084446033,E-mail:zizhengguo@mars.swjtu.edu.cn

Probability Model for Driver Attention State under High Driving Load

  • 摘要: 为研究高负荷驾驶任务下驾驶员注意力状态转移规律,应用更新过程理论构建了短时段注意力状态概率模型,并给出了近似求解方法.对于长时间连续驾驶,该模型在状态转移点处难以满足齐次性特征要求,可用时段分割法处理.用实际数据对模型进行了仿真实验.结果表明,模型整体误差为2.83%.

     

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  • 收稿日期:  2007-12-24

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