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

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

INF - Human-Social Information Sciences

Research output: Contribution to conference › Paper › peer-review

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 language	English
Publication status	Published - 2013 Jan 1
Event	20th Intelligent Transport Systems World Congress, ITS 2013 - Tokyo, Japan Duration: 2013 Oct 14 → 2013 Oct 18

Other

Other	20th Intelligent Transport Systems World Congress, ITS 2013
Country/Territory	Japan
City	Tokyo
Period	13/10/14 → 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

Cite this

Data fusion analysis for traffic management in disaster and normal situations. / Ohata, Takeshi; Kim, Jinyoung; Kuwahara, Masao; Hanabusa, Hisatomo; Urayama, Toshihiro; Etoh, Kazuaki; Yamori, Takafumi; Tanji, Kazuhiro; Masuda, Takuro.

2013. Paper presented at 20th Intelligent Transport Systems World Congress, ITS 2013, Tokyo, Japan.

Research output: Contribution to conference › Paper › peer-review

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AU - Ohata, Takeshi

AU - Kim, Jinyoung

AU - Kuwahara, Masao

AU - Hanabusa, Hisatomo

AU - Urayama, Toshihiro

AU - Etoh, Kazuaki

AU - Yamori, Takafumi

AU - Tanji, Kazuhiro

AU - Masuda, Takuro

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

AB - 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.

KW - Data fusion

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T2 - 20th Intelligent Transport Systems World Congress, ITS 2013

Y2 - 14 October 2013 through 18 October 2013

ER -

Data fusion analysis for traffic management in disaster and normal situations

Abstract

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Keywords

ASJC Scopus subject areas

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