Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

Journal of Beijing University of Posts and Telecommunications ›› 2020, Vol. 43 ›› Issue (4): 39-47.doi: 10.13190/j.jbupt.2019-216

• PAPERS • Previous Articles     Next Articles

Travel Recognition Method for Fixed-Point Trajectory Data

ZHANG Kuan, ZHAO Zhuo-feng, GUO Wei-qiang   

  1. Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data, North China University of Technology, Beijing 100144, China
  • Received:2019-10-12 Published:2020-08-15

Abstract: To satisfy the requirements of long-periodic fixed-point trajectory travel recognition,a dynamic threshold travel recognition method for fixed point trajectory data is proposed. At first,use hierarchical clustering to determine the spatial-temporal multiple granularity parameters which relate to the threshold. Then count historical records according to parameters to calculate the threshold corresponding to each parameter. Last,execute trajectory segmentation process with spatial-temporal threshold to get the precise travel recognition result. Experiment based on fixed-point trajectory data from real world city shows that using spatial-temporal dynamic threshold method to recognize travel in fixed point trajectory data is superior to the traditional stable and single threshold method on accuracy and coverage.

Key words: fixed-point trajectory data, travel recognition, trajectory segmentation

CLC Number: