Logistics Vehicle Travel Preference of Interest Points Based on Speed and Accessory State

  • Shengwu Xiong
  • Li Kuang
  • Pengfei DuanEmail author
  • Wei Shi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9864)


In a crowded city, directions and speed of vehicles are usually changed arbitrarily. Analyzing travel preferences of vehicle has become a focus of research as it helps to classify region of interest in city and can be used in personalized recommendation and many other areas of application. In this paper, a travel identification method based on vehicle speed and Accessory (ACC) State is proposed. Continuously classifying and merging the trajectory points in GPS data stream, the travel activities of vehicle is extracted. It can provide a basis of data for the research on hot spots and support the research and application of vehicle trajectory data mining in areas of intelligent transportation and logistics.


Vehicle speed ACC state Travel identification Hot spots Logistics vehicle 



This work was supported in part by the National High-tech R&D Program of China (863 Program) under Grant No. 2015AA015403, Science & Technology Pillar Program of Hubei Province under Grant No. 2014BAA146, Nature Science Foundation of Hubei Province under Grant No. 2015CFA059, Hubei Key Laboratory of Transportation Internet of Things under Grant No. 2015III015-B03 and CERNET Innovation Project under Grant No. NGII20151006.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Shengwu Xiong
    • 1
    • 2
  • Li Kuang
    • 1
  • Pengfei Duan
    • 1
    • 2
    Email author
  • Wei Shi
    • 1
  1. 1.School of Computer Science and TechnologyWuhan University of TechnologyWuhanPeople’s Republic of China
  2. 2.Hubei Key Laboratory of Transportation Internet of ThingsWuhanPeople’s Republic of China

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