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面向复杂动态条件下的路径选择过程,面向驾驶人的个性化需求,构建个性化指标集,引入驾驶人心态指标函数,将定性、模糊的区间指标值定量化,从而构建路径决策矩阵;最后,基于客观自主式决策方法,将客观评价对象当作有思考能力的个体来全面参与路径选择过程,对可行路径进行优化评价,获得最优路径。研究结果表明:个性化路径指标集的构建降低了问题的复杂度,减小了计算规模,基于驾驶人心态指标,可以将模糊化的区间路径评价指标定量化,在表达驾驶人个性化特点的同时,进一步简化了路径决策过程的复杂性;该方法既尊重了客观可行路径的本身物理特征,又充分表达了驾驶员的主观个性化需要,从而使得所选路径更为合理;仿真算例验证了本文算法的有效性。
In order to construct the path decision matrix for the path selection process under complex dynamic conditions, the driver’s individual needs are met, the personalized index set is constructed, the driver’s mental state index function is introduced, and the qualitative and fuzzy interval index values are quantified. Finally, Based on the objective and autonomous decision-making method, the objective evaluation object is regarded as an individual with thinking ability to fully participate in the path selection process, and the feasible path is optimized and evaluated to obtain the optimal path. The results show that the construction of the personalized path index set reduces the complexity of the problem and reduces the calculation scale. Based on the driver’s mental state index, the fuzzy evaluation index of the interval path can be quantified, and the personal characteristics of the driver At the same time, the complexity of the route decision-making process is further simplified. The method not only respects the intrinsic physical characteristics of the objective feasible route, but also fully expresses the subjective and individual requirements of the driver so as to make the selected route more reasonable. The effectiveness of the algorithm in this paper.