基于多状态驾驶环境的安全驾驶可靠度评估
Reliability Assessment of Safe Driving Based on Multi-State Driving Environment
DOI: 10.12677/ORF.2018.83011, PDF,  被引量    科研立项经费支持
作者: 石 坤, 张永进, 孙超勇:安徽工业大学数理学院,安徽 马鞍山
关键词: 多状态环境层次分析法隶属函数模糊矩阵可靠度Multi State Environment Analytic Hierarchy Process Membership Function Fuzzy Matrix Reliability
摘要: 行车环境直接影响汽车驾驶者的感知、判断、操作。首先,通过对影响安全驾驶因子的分析,将影响因子分为六个方面,然后,应用层次分析法计算各因子的权重,对影响因子进行多状态划分并制定因子状态表。利用模糊数学隶属函数对实测值进行隶属度分配,构造隶属度模糊矩阵,基于因子权重与模糊矩阵方法计算安全驾驶可靠度。最后,以白天天气晴朗环境下安全驾驶为实例,分析表明了应用模糊层次分析法对安全驾驶可靠度评估的有效性。
Abstract: The driving environment directly affects the perception, judgement and operation of vehicle drivers. First, through the analysis of the influencing factors of safety driving factors, the influence factors are divided into six aspects. Then, the weight of each factor is calculated by the analytic hierarchy process (AHP), and the factors are divided into multiple states and the factor state table is formulated. The membership degree of the measured values is allocated by the fuzzy mathematics membership function, the fuzzy matrix of membership degree is constructed, and the safety driving reliability is calculated based on the factor weight and the fuzzy matrix method. Finally, taking the safe driving in sunny weather in the daytime as an example, the analysis shows that the fuzzy analytic hierarchy process (AHP) is effective in evaluating the safety driving reliability.
文章引用:石坤, 张永进, 孙超勇. 基于多状态驾驶环境的安全驾驶可靠度评估[J]. 运筹与模糊学, 2018, 8(3): 83-89. https://doi.org/10.12677/ORF.2018.83011

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