Data Fusion Analysis for Traffic Management in Disaster and Normal Situations: for the 20th ITS World Congress Tokyo 2013

This research first proposed the structure of a database storing various data on mobility, disasters and other external factors so as to efficiently create information for traffic management both during disasters and normal situations. Then, an evacuation simulation is developed using the stored data to evaluate several evacuation schemes of road infrastructure development, allocation of evacuation shelters just after the Great East Japan Earthquake.

  • Availability:
  • Supplemental Notes:
    • Abstract used with permission of ITS Japan. Paper No. 3172. Alternate title: Data Fusion Analysis for Traffic Management in Disaster and Normal Situations.
  • Corporate Authors:

    ITS Japan

    Tokyo,   Japan 
  • Authors:
    • Ohata, Takeshi
    • Kim, Jinyoung
    • Kuwahara, Masao
    • Hanabusa, Hisatomo
    • Urayama, Toshihiro
    • Etoh, Kazuaki
    • Yamori, Takafumi
    • Tanji, Kazuhiro
    • Masuda, Takuro
  • Conference:
  • Publication Date: 2013


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 9p
  • Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01538076
  • Record Type: Publication
  • ISBN: 9784990493981
  • Files: TRIS
  • Created Date: Sep 3 2014 12:33PM