Travel Behavior Recognition and Modeling Technology Integrating Personal Social Information

With the development of mobile network and space location technology, the social network has been developed rapidly and has a rich user community. Through analyzing the personal history of GPS data, designing based on Constraint Stay Point Recognition Algorithm, extracting stay point with time-stamp and constructing Limited to Stay Point Clustering Algorithm, to eliminate the dissimilarity phenomenon caused by the error of GPS trajectory. In addition, the traveler GPS logs with the location information of social networks in data preprocessing, and the fusion operation, application in the field of sensor information fusion technology, for the first time put forward fused multiple location information to the user. Bayes fusion algorithm is effective to solve social networks in data sparse and uncertainty of the data of GPS positioning.