Journal of Jilin University (Information Science Edition) ›› 2020, Vol. 38 ›› Issue (6): 640-646.

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Vehicle Trajectory Clustering at Roundabout Based on Space-Time Similarity Coefficient

REN Baihan1, DING Xuemei1, SUN Shilong2   

  1. 1. Traffic Engineering Institute, Jilin University of Architecture and Technology, Changchun 130114, China;
    2. Public Opinion Section, Baishan Internet Information Center, Baishan 134300, China
  • Received:2019-12-19 Online:2020-11-24 Published:2020-12-13

Abstract: In order to analyze the rules of vehicle trajectory and so as to improve the capacity of the weaving area of roundabout, the method of vehicle trajectory clustering at roundabout is studied based on space-time similarity coefficient. The space-time information of vehicle trajectory is analyzed for the specified vehicle trajectory, and the space-time similarity coefficient is calculated and clustered by spectral clustering. The trajectory clustering in a period of time in the intersection area is visualized. It is proved that the method can effectively reduce the data and dig out the hidden rules of the trajectory information, which provides a valuable reference for further decision-making work.

Key words: space-time similarity coefficient, spectral clustering, vehicle trajectory clustering, trafficengineering

CLC Number: 

  • TP302. 1