肖金坚, 高利. 弯坡组合路段安全认知推理模型[J]. 北京工业大学学报, 2007, 33(8): 813-818.
    引用本文: 肖金坚, 高利. 弯坡组合路段安全认知推理模型[J]. 北京工业大学学报, 2007, 33(8): 813-818.
    XIAO Jin-jian, GAO Li. Inference Model of Driver's Curve-ramp Safety Cognition[J]. Journal of Beijing University of Technology, 2007, 33(8): 813-818.
    Citation: XIAO Jin-jian, GAO Li. Inference Model of Driver's Curve-ramp Safety Cognition[J]. Journal of Beijing University of Technology, 2007, 33(8): 813-818.

    弯坡组合路段安全认知推理模型

    Inference Model of Driver's Curve-ramp Safety Cognition

    • 摘要: 基于人-车-路(环境)系统的观点,论述了驾驶员安全认知推理与弯坡组合路段特征因素间的非线性作用规律.分析了平曲半径、纵坡度和车辆行驶速度对驾驶员安全认知的影响作用,并将其作为输入参数集,利用模糊神经网络理论,构建了5层驾驶员安全认知推理模型,并结合路试数据进行了对比分析验证.结果表明,5层结构模型能较好满足特定弯坡组合路段条件下主观安全认知的推理预测要求,能准确再现出主观安全感觉同平曲半径、纵坡度、车辆行驶速度间的相互作用.

       

      Abstract: From the angle of driver-vehicle-road (environment) system,nonlinear rules of driving safety perceptional relations with properties of curve-ramps were discussed.Through the research on mutual effects among driving safety perception,operating speed and properties of curve-ramps,the structural model of driver safety perception was set up.Based on the theory of fuzzy-neural networks,a 5-layer inference model of driver's safety perceptive reasoning model was built up,too.In this model horizontal curve radius,gradient and operating speeds were taken as system inputs and driver's subjective safety perception were taken as system outputs.The results of road tests and inferences from utilizing fuzzy-neural network's reasoning opera- tion of driver's safety perceptive model show that the relation between inputs and outputs of 5-layer inference model is accurate and effective in inferring safety perception.

       

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