Developing updating method of origin-destination matrix at building level utilizing pedestrian flow data by network cameras

DOI

Bibliographic Information

Other Title
  • ネットワークカメラによる人流データを活用した建物間の OD 交通量更新手法の構築

Abstract

<p>In recent years, in addition to GPS data and base station data from cell phones, improved image recognition technology has made it possible to detect people from images and determine pedestrian flow. On the other hand, the survey frequency of the National Road and Street Traffic Survey is once every five years, and OD traffic volumes are not updated until the next survey. For this reason, methods such as the above-mentioned inverse estimation of OD traffic volume utilizing observed flow data have been put into practice. Therefore, this study proposes a method to update the OD traffic volume from a past web-based survey conducted on campus to the current OD traffic volume by detecting people from cameras installed on campus and using the totaled pedestrian flow data. Note that since the cameras are installed on the road, people move in all directions. Therefore, we have realized a highly accurate updating of the OD traffic volume by taking the direction into account when totaling the pedestrian flow data.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390580626907986048
  • DOI
    10.14954/jste.10.1_a_250
  • ISSN
    21872929
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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