Risk Evaluation by Human Trajectory Simulation Based on Real Data

This paper proposes a new approach integrating the modeling of moving persons from sensor data and agent-based simulation for indoor layout design viewed from preventing children’s accidents. Our model focuses on interaction between indoor objects and children to estimate the risk of indoor accident...

Full description

Saved in:
Bibliographic Details
Published in:Journal of advanced computational intelligence and intelligent informatics 2011-03, Vol.15 (2), p.220-225
Main Authors: Izumi, Kiyoshi, Nishida, Yoshifumi, Motomura, Yoichi
Format: Article
Language:English
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c242t-7fdbaf6deb488bc850d627029ed34620457a11d109dba0cb34dcefe605f036253
container_end_page 225
container_issue 2
container_start_page 220
container_title Journal of advanced computational intelligence and intelligent informatics
container_volume 15
creator Izumi, Kiyoshi
Nishida, Yoshifumi
Motomura, Yoichi
description This paper proposes a new approach integrating the modeling of moving persons from sensor data and agent-based simulation for indoor layout design viewed from preventing children’s accidents. Our model focuses on interaction between indoor objects and children to estimate the risk of indoor accidents. We discuss the agent-based simulation of multiple persons moving in public spaces and its application to evaluating information presentation for guidance.
doi_str_mv 10.20965/jaciii.2011.p0220
format article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_20965_jaciii_2011_p0220</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_20965_jaciii_2011_p0220</sourcerecordid><originalsourceid>FETCH-LOGICAL-c242t-7fdbaf6deb488bc850d627029ed34620457a11d109dba0cb34dcefe605f036253</originalsourceid><addsrcrecordid>eNotkM1Kw0AUhQdRsNS-gKt5gdQ7P5lMlrVWKxSEWtfDzcwEJiZNySRC3t7YuLrf5RzO4iPkkcGaQ67SpwptCGF6GFtfgHO4IQumtUg0MHk7sZAiASbgnqxirAAm5gokW5DNMcRvuvvBesA-tGdajHQ_NHimpw4rb_u2G-lnaIZ6jp8xekcnOHqs6Qv2-EDuSqyjX_3fJfl63Z22--Tw8fa-3RwSyyXvk6x0BZbK-UJqXVidglM8A557J6TiINMMGXMM8qkHthDSWV96BWkJQvFULAmfd23Xxtj50ly60GA3Ggbm6sHMHsyfB3P1IH4B6dBR9w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Risk Evaluation by Human Trajectory Simulation Based on Real Data</title><source>Directory of Open Access Journals</source><creator>Izumi, Kiyoshi ; Nishida, Yoshifumi ; Motomura, Yoichi</creator><creatorcontrib>Izumi, Kiyoshi ; Nishida, Yoshifumi ; Motomura, Yoichi ; Digital Human Research Center, National Institute of Advanced Industrial Science and Technology, 2-3-26 Aomi, Koto-ku, Tokyo 135-0064, Japan, CREST, JST, Japan ; School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan, PRESTO, JST, Japan</creatorcontrib><description>This paper proposes a new approach integrating the modeling of moving persons from sensor data and agent-based simulation for indoor layout design viewed from preventing children’s accidents. Our model focuses on interaction between indoor objects and children to estimate the risk of indoor accidents. We discuss the agent-based simulation of multiple persons moving in public spaces and its application to evaluating information presentation for guidance.</description><identifier>ISSN: 1343-0130</identifier><identifier>EISSN: 1883-8014</identifier><identifier>DOI: 10.20965/jaciii.2011.p0220</identifier><language>eng</language><ispartof>Journal of advanced computational intelligence and intelligent informatics, 2011-03, Vol.15 (2), p.220-225</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c242t-7fdbaf6deb488bc850d627029ed34620457a11d109dba0cb34dcefe605f036253</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,27924,27925</link.rule.ids></links><search><creatorcontrib>Izumi, Kiyoshi</creatorcontrib><creatorcontrib>Nishida, Yoshifumi</creatorcontrib><creatorcontrib>Motomura, Yoichi</creatorcontrib><creatorcontrib>Digital Human Research Center, National Institute of Advanced Industrial Science and Technology, 2-3-26 Aomi, Koto-ku, Tokyo 135-0064, Japan, CREST, JST, Japan</creatorcontrib><creatorcontrib>School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan, PRESTO, JST, Japan</creatorcontrib><title>Risk Evaluation by Human Trajectory Simulation Based on Real Data</title><title>Journal of advanced computational intelligence and intelligent informatics</title><description>This paper proposes a new approach integrating the modeling of moving persons from sensor data and agent-based simulation for indoor layout design viewed from preventing children’s accidents. Our model focuses on interaction between indoor objects and children to estimate the risk of indoor accidents. We discuss the agent-based simulation of multiple persons moving in public spaces and its application to evaluating information presentation for guidance.</description><issn>1343-0130</issn><issn>1883-8014</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNotkM1Kw0AUhQdRsNS-gKt5gdQ7P5lMlrVWKxSEWtfDzcwEJiZNySRC3t7YuLrf5RzO4iPkkcGaQ67SpwptCGF6GFtfgHO4IQumtUg0MHk7sZAiASbgnqxirAAm5gokW5DNMcRvuvvBesA-tGdajHQ_NHimpw4rb_u2G-lnaIZ6jp8xekcnOHqs6Qv2-EDuSqyjX_3fJfl63Z22--Tw8fa-3RwSyyXvk6x0BZbK-UJqXVidglM8A557J6TiINMMGXMM8qkHthDSWV96BWkJQvFULAmfd23Xxtj50ly60GA3Ggbm6sHMHsyfB3P1IH4B6dBR9w</recordid><startdate>20110320</startdate><enddate>20110320</enddate><creator>Izumi, Kiyoshi</creator><creator>Nishida, Yoshifumi</creator><creator>Motomura, Yoichi</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20110320</creationdate><title>Risk Evaluation by Human Trajectory Simulation Based on Real Data</title><author>Izumi, Kiyoshi ; Nishida, Yoshifumi ; Motomura, Yoichi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c242t-7fdbaf6deb488bc850d627029ed34620457a11d109dba0cb34dcefe605f036253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Izumi, Kiyoshi</creatorcontrib><creatorcontrib>Nishida, Yoshifumi</creatorcontrib><creatorcontrib>Motomura, Yoichi</creatorcontrib><creatorcontrib>Digital Human Research Center, National Institute of Advanced Industrial Science and Technology, 2-3-26 Aomi, Koto-ku, Tokyo 135-0064, Japan, CREST, JST, Japan</creatorcontrib><creatorcontrib>School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan, PRESTO, JST, Japan</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of advanced computational intelligence and intelligent informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Izumi, Kiyoshi</au><au>Nishida, Yoshifumi</au><au>Motomura, Yoichi</au><aucorp>Digital Human Research Center, National Institute of Advanced Industrial Science and Technology, 2-3-26 Aomi, Koto-ku, Tokyo 135-0064, Japan, CREST, JST, Japan</aucorp><aucorp>School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan, PRESTO, JST, Japan</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk Evaluation by Human Trajectory Simulation Based on Real Data</atitle><jtitle>Journal of advanced computational intelligence and intelligent informatics</jtitle><date>2011-03-20</date><risdate>2011</risdate><volume>15</volume><issue>2</issue><spage>220</spage><epage>225</epage><pages>220-225</pages><issn>1343-0130</issn><eissn>1883-8014</eissn><abstract>This paper proposes a new approach integrating the modeling of moving persons from sensor data and agent-based simulation for indoor layout design viewed from preventing children’s accidents. Our model focuses on interaction between indoor objects and children to estimate the risk of indoor accidents. We discuss the agent-based simulation of multiple persons moving in public spaces and its application to evaluating information presentation for guidance.</abstract><doi>10.20965/jaciii.2011.p0220</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1343-0130
ispartof Journal of advanced computational intelligence and intelligent informatics, 2011-03, Vol.15 (2), p.220-225
issn 1343-0130
1883-8014
language eng
recordid cdi_crossref_primary_10_20965_jaciii_2011_p0220
source Directory of Open Access Journals
title Risk Evaluation by Human Trajectory Simulation Based on Real Data
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T05%3A46%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Risk%20Evaluation%20by%20Human%20Trajectory%20Simulation%20Based%20on%20Real%20Data&rft.jtitle=Journal%20of%20advanced%20computational%20intelligence%20and%20intelligent%20informatics&rft.au=Izumi,%20Kiyoshi&rft.aucorp=Digital%20Human%20Research%20Center,%20National%20Institute%20of%20Advanced%20Industrial%20Science%20and%20Technology,%202-3-26%20Aomi,%20Koto-ku,%20Tokyo%20135-0064,%20Japan,%20CREST,%20JST,%20Japan&rft.date=2011-03-20&rft.volume=15&rft.issue=2&rft.spage=220&rft.epage=225&rft.pages=220-225&rft.issn=1343-0130&rft.eissn=1883-8014&rft_id=info:doi/10.20965/jaciii.2011.p0220&rft_dat=%3Ccrossref%3E10_20965_jaciii_2011_p0220%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c242t-7fdbaf6deb488bc850d627029ed34620457a11d109dba0cb34dcefe605f036253%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true