Data fusion analysis for traffic management in disaster and normal situations

Takeshi Ohata, Jinyoung Kim, Masao Kuwahara, Hisatomo Hanabusa, Toshihiro Urayama, Kazuaki Etoh, Takafumi Yamori, Kazuhiro Tanji, Takuro Masuda

Research output: Contribution to conference › Paper

Abstract

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.

Original languageEnglish
Publication statusPublished - 2013 Jan 1
Event20th Intelligent Transport Systems World Congress, ITS 2013 - Tokyo, Japan
Duration: 2013 Oct 14 → 2013 Oct 18

Other

Other20th Intelligent Transport Systems World Congress, ITS 2013
CountryJapan
CityTokyo
Period13/10/14 → 13/10/18

Keywords

  • Data fusion
  • Database
  • Evacuation simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Automotive Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Transportation
  • Computer Networks and Communications
  • Computer Science Applications

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    • Cite this

    Ohata, T., Kim, J., Kuwahara, M., Hanabusa, H., Urayama, T., Etoh, K., Yamori, T., Tanji, K., & Masuda, T. (2013). Data fusion analysis for traffic management in disaster and normal situations. Paper presented at 20th Intelligent Transport Systems World Congress, ITS 2013, Tokyo, Japan.