Pedestrian potential risk while crossing at signalized intersections

Risk of pedestrian while crossing a road section may influence by several factors, including their crossing behaviors which might be difficult to be measured. In this paper, a model using Petri nets is introduced to consider the behavioral factors in measuring pedestrian risk. The crossing scenario...

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Published in:Jurnal Teknologi
Main Author: Hamidun R.; Kordi N.E.; Endut I.R.; Ishak S.Z.; Yusof M.F.M.
Format: Article
Language:English
Published: Penerbit UTM Press 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968760313&doi=10.11113%2fjt.v78.8482&partnerID=40&md5=5f4a169b687c90832b955580a8fb184a
id 2-s2.0-84968760313
spelling 2-s2.0-84968760313
Hamidun R.; Kordi N.E.; Endut I.R.; Ishak S.Z.; Yusof M.F.M.
Pedestrian potential risk while crossing at signalized intersections
2016
Jurnal Teknologi
78
5-Feb
10.11113/jt.v78.8482
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968760313&doi=10.11113%2fjt.v78.8482&partnerID=40&md5=5f4a169b687c90832b955580a8fb184a
Risk of pedestrian while crossing a road section may influence by several factors, including their crossing behaviors which might be difficult to be measured. In this paper, a model using Petri nets is introduced to consider the behavioral factors in measuring pedestrian risk. The crossing scenario of the pedestrian was observed to identify the pedestrian accident event. Sequence of event in pedestrian accident was modeled into Petri Nets elements. The model is designed in the hierarchical structure to consider risk factors related to human behavior, engineering and environment. The analysis of the model provides the numerical value of pedestrian potential risk as they crossed at a signalized intersection. The effect of each factor on the potential risk can be observed through sensitivity analysis. The use of Petri Nets is a novel approach in predicting pedestrian potential risk through the modeling of pedestrian accident process. © 2016 Penerbit UTM Press. All rights reserved.
Penerbit UTM Press
1279696
English
Article

author Hamidun R.; Kordi N.E.; Endut I.R.; Ishak S.Z.; Yusof M.F.M.
spellingShingle Hamidun R.; Kordi N.E.; Endut I.R.; Ishak S.Z.; Yusof M.F.M.
Pedestrian potential risk while crossing at signalized intersections
author_facet Hamidun R.; Kordi N.E.; Endut I.R.; Ishak S.Z.; Yusof M.F.M.
author_sort Hamidun R.; Kordi N.E.; Endut I.R.; Ishak S.Z.; Yusof M.F.M.
title Pedestrian potential risk while crossing at signalized intersections
title_short Pedestrian potential risk while crossing at signalized intersections
title_full Pedestrian potential risk while crossing at signalized intersections
title_fullStr Pedestrian potential risk while crossing at signalized intersections
title_full_unstemmed Pedestrian potential risk while crossing at signalized intersections
title_sort Pedestrian potential risk while crossing at signalized intersections
publishDate 2016
container_title Jurnal Teknologi
container_volume 78
container_issue 5-Feb
doi_str_mv 10.11113/jt.v78.8482
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968760313&doi=10.11113%2fjt.v78.8482&partnerID=40&md5=5f4a169b687c90832b955580a8fb184a
description Risk of pedestrian while crossing a road section may influence by several factors, including their crossing behaviors which might be difficult to be measured. In this paper, a model using Petri nets is introduced to consider the behavioral factors in measuring pedestrian risk. The crossing scenario of the pedestrian was observed to identify the pedestrian accident event. Sequence of event in pedestrian accident was modeled into Petri Nets elements. The model is designed in the hierarchical structure to consider risk factors related to human behavior, engineering and environment. The analysis of the model provides the numerical value of pedestrian potential risk as they crossed at a signalized intersection. The effect of each factor on the potential risk can be observed through sensitivity analysis. The use of Petri Nets is a novel approach in predicting pedestrian potential risk through the modeling of pedestrian accident process. © 2016 Penerbit UTM Press. All rights reserved.
publisher Penerbit UTM Press
issn 1279696
language English
format Article
accesstype
record_format scopus
collection Scopus
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