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双车道公路驾驶人-车辆-弯道(环境)系统模型 被引量:2

Driver-Vehicle-Curve(Environment) System Model in Two-Lane Highway
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摘要 为探究双车道公路弯道事故机理,对驾驶人-车辆-弯道(环境)系统模型进行了研究。针对驾驶行为中客观存在的模糊性和主观性问题,建立多目标模糊优选决策的驾驶人模型,然后选用12个自由度的非线性汽车动力学分析模型(VDANL),针对其非线性特征研究综合数值计算方法,结合弯道的道路三维模型建立驾驶人-车辆-弯道(环境)系统模型,基于迭代思想提出系统误差补偿计算方法,最后建立综合指标体系,仿真分析了警告标志、附着系数等环境因素对行车稳定性和驾驶行为的影响。 The driver-vehicle-curvature (environment) system is studied to explore the accident mechanism of two- lane highway curvature. For the fuzziness and subjectivity existing in driving behaviors, a driver model of multi-objective fuzzy optimal decision making is established. Then, vehicle dynamics simulation system VDANL (Vehicle Dynamics Analysis, Non-Linear) is adopted, which involved 12 degrees of freedom. For the non-linear characteristic, comprehensive numerical calculation method is studied, and driver- vehicle- curvature (environment) system model is established in combination with the 3D road model integrating curvature, and system error compensation calculation method is proposed based on iterative algorithm. Finally an integrative index system is established, the simulation analyzes the influence of environmental factors including warning sign, adhesion coefficient on driving stability and driving behavior.
作者 钱宇彬 肖凌云 王婉秋 Qian Yubin;Xiao Lingyun;Wang Wanqiu(Shanghai University of Engineering Science, Shanghai 201620;Motor Vehicle Recall Management Department, SAMR Defective Product Administrative Center, Beijing 100101)
出处 《汽车技术》 CSCD 北大核心 2019年第8期32-38,共7页 Automobile Technology
基金 中国标准化研究院院长基金项目(282019Y-6694)
关键词 驾驶人-车辆-弯道(环境)系统模型 多目标模糊优选决策 非线性汽车动力仿真模型 Driver-vehicle-curve (environment) system model Multi-objective fuzzy optimal decision-making behavior Vehicle nonlinear dynamics simulation system
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