Modeling of Multi Degree of Freedom Pedestrian Comfort Space Based on Multidimensional Comfort Distance Inference

In response to the problems of insufficient personalized expression and imprecise description of comfortable spaces in traditional personal space models, this paper designs a framework for constructing pedestrian comfortable spaces. Firstly, considering various internal and external factors such as pedestrian characteristics and item attributes that affect pedestrian comfort space, a fuzzy tree inference system was constructed, and a multidimensional comfort distance fuzzy inference method was proposed. Then, considering the limitation of pedestrian's field of view during movement, combined with an asymmetric Gaussian model, a multi degree of freedom asymmetric Gaussian model comfort space construction method is proposed. Finally, the effectiveness of the above method was verified through validation experiments, and the superiority of the proposed method was verified through path planning experiments.