Acta Geodaetica et Cartographica Sinica ›› 2022, Vol. 51 ›› Issue (8): 1807-1816.doi: 10.11947/j.AGCS.2022.20210365

• Cartography and Geoinformation • Previous Articles     Next Articles

Traveling trajectory description model considering the point-line spatio-temporal correlation characteristics

LIN Yan1, HE Rixing2, CHEN Jun3, LI Jiatian4, ZHANG Wenyu1   

  1. 1. Policing Information Technology and Network Security College, People's Public Security University of China, Beijing 100038, China;
    2. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China;
    3. National Geomatics Center of China, Beijing 100830, China;
    4. Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China
  • Received:2021-07-09 Revised:2022-08-01 Published:2022-09-03
  • Supported by:
    The National Natural Science Foundation of China (No.41971367)

Abstract: Associated traveling becomes new research highlight in the fields of urban planning,traffic traveling,infectious disease prevention and controlling,crime investigation etc.Especially,effectively identifying the related behavior of individuals with subjective intentions (such as meeting and waiting) is considered as a difficult problem in the area of spatio-temporal cognition.In this paper,spatio-temporal trajectory of crime is studied.First,the inadequacy of the previous traveling trajectory description methods is analyzed,which indicating that the detailed point characteristics and the complete line characteristics of the traveling trajectory should be considered,based on that a travel trajectory description model considering the point-line characteristics is proposed.Second,a trajectory discrimination method of associated traveling is proposed based on spatio-temporal topological relationship,which can describe four basic associated traveling trajectory modes including meeting,waiting,coexistence and companion,further distinguishing 19 different associated traveling subtypes.Finally,the effectiveness of the method is validated by an experimental comparison.

Key words: associated traveling, trajectory, spatio-temporal topological relationships, companion pattern, trajectory description

CLC Number: