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传统的行为模式分类一般是基于问卷调查的方式来实现,但存在数据的可靠性和采集的困难等问题。提出一种基于GPS记录数据建立人的三种行为模式的分类方法,通过时间、速度和方向等参数建立人的静止、步行和驱车三种模式,并根据GPS记录点集的空间分布特征以及邻域分析方法建立GPS误差消除模型和路径的跟踪模型。
The traditional classification of behavior patterns is generally based on the way of questionnaire, but there are some problems such as the reliability of data and the difficulty of collection. This paper proposes a classification method based on GPS records to establish three kinds of behavior patterns of human beings. Based on the parameters of time, speed and direction, the paper establishes three kinds of human resting, walking and driving modes. According to the spatial distribution characteristics of GPS record set, Domain analysis method to establish GPS error elimination model and path tracking model.