A Study on the Potential of Understanding Pedestrian Space Characteristics Through Analysis Results of Human Flow by AI

DOI

Bibliographic Information

Other Title
  • AIによる人流解析結果を介した歩道空間の特性把握の可能性に関する研究

Description

<p>In recent years, efforts have been made to create interaction and staying spaces in urban areas, and there is an increasing demand for behavioral observation in urban spaces. This paper reports on the development of technology that digitizes pedestrians and cyclists (divided into three categories by vehicle type) in pedestrian spaces from video footage using image recognition technology with AI, building on previous research that automated pedestrian traffic surveys. Based on the digitized results, we converted them into multiple indicators such as speed and stay probability, and considered the possibility of feedback to real-world issues from the characteristics of pedestrian traffic in pedestrian spaces.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390577674257834368
  • DOI
    10.11532/jsceiii.4.2_121
  • ISSN
    24359262
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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