关键词: 城市交通, 出行特征, 狄利克雷过程混合模型, 手机信令

Abstract:

The mobile phone data not only provides the track record of individual travel, but also provides a basis for analyzing the spatial distribution characteristics of urban activities. This paper proposes a city activity feature clustering method based on the Dirichlet Process Mixture Model. Based on the residents' OD matrix extracted from mobile phone signaling, the number of arrivals and departures of each base station is used as a representation of the spatial location of the base station. The activity characteristics of the research feature clustering method. This method introduces Dirichlet distribution as the prior distribution, and estimates the number of feature clusters from the Chinese restaurant model. Compared with other clustering methods, the major advantage of this method is that there is no pre- specified number of clusters in the method, which avoids the defect of pre- specifying the cluster number in traditional clustering methods. This method is applied to the clustering of urban activity characteristics in Sanya, which can effectively reflect the activity characteristics of different urban functional groups.

Key words: urban traffic, travel characteristics, Dirichlet process mixture model, mobile phone data