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Volume 56 Issue 5
Oct.  2021
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Journal of Southwest Jiaotong University  > 2021  >  56(5): 928-936.
YANG Fei, JIANG Haihang, YAO Zhenxing, LIU Haode. Evaluation of Activity Location Recognition Using Cellular Signaling Data[J]. Journal of Southwest Jiaotong University, 2021, 56(5): 928-936. doi: 10.3969/j.issn.0258-2724.20200086
Citation: YANG Fei, JIANG Haihang, YAO Zhenxing, LIU Haode. Evaluation of Activity Location Recognition Using Cellular Signaling Data[J]. Journal of Southwest Jiaotong University, 2021, 56(5): 928-936. doi: 10.3969/j.issn.0258-2724.20200086
shu

Evaluation of Activity Location Recognition Using Cellular Signaling Data

doi: 10.3969/j.issn.0258-2724.20200086
  • Received Date: 11 Mar 2020
  • Rev Recd Date: 08 Jun 2020
    • Available Online: 23 Mar 2021
  • Publish Date: 15 Oct 2021
    Abstract
  • In order to investigate the recognition results of individuals’ activity locations using cellular signaling data, the field experiment for collecting cellular signaling data was carried out. The GPS trajectory data and the travel logs were collected synchronously as the real data for reference. A three-step method for recognizing activity locations is proposed. Firstly, an equal time interval interpolation method is used to balance the time weight of each trace. Secondly, an agglomerative hierarchical clustering algorithm is applied to merge the traces into different clusters. Finally, a new method of correcting location oscillation is proposed, to solve the problem that clusters in the same activity location oscillate. Results show that the proposed method performs well in term of the accuracy of identifying activity locations, distance error and time error. The average recognition accuracy and distance error is over 84% and within 220 m, respectively. The average errors of departure and arrival time are 7.7 min and 5.3 min, respectively. In the comparison of different travel purposes, the activity locations for work receive the best recognition results, and the results of the locations for shopping is relatively inferior.

     

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