Driver's decision model at an onset of amber period at signalised intersections

Driving is a complex task and, probably, the most dangerous activity on roadways because it involves instantaneous decision making by drivers. A traffic signal–controlled intersection is one of road facilities which require drivers to make an instantaneous decision at the onset of amber period. This...

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Main Authors: Che Puan, Othman, Ibrahim, Muttaka Na’iya, Muhammad Nor, Nur Syahriza, Triana, Era
Format: Article
Language:English
Published: Penerbit UTM Press 2015
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Online Access:http://eprints.utm.my/id/eprint/58333/1/OthmanChePuan2015_DriversDecisionModelatanOnsetofAmber.pdf
http://eprints.utm.my/id/eprint/58333/
http://dx.doi.org/10.11113/jt.v72.3937
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.583332021-12-14T08:12:40Z http://eprints.utm.my/id/eprint/58333/ Driver's decision model at an onset of amber period at signalised intersections Che Puan, Othman Ibrahim, Muttaka Na’iya Muhammad Nor, Nur Syahriza Triana, Era TA Engineering (General). Civil engineering (General) Driving is a complex task and, probably, the most dangerous activity on roadways because it involves instantaneous decision making by drivers. A traffic signal–controlled intersection is one of road facilities which require drivers to make an instantaneous decision at the onset of amber period. This paper describes the application of a regression approach to evaluate the factors that influence the decision made by a driver whether to proceed or to stop at the stop line at the onset of amber period at signalised intersections. More than 2,700 drivers approaching the stop–line at the onset of amber period at six intersections installed with a fixed–time traffic signal–control system were observed. Two video cameras were used to record the movements of vehicles approaching the intersection from a distance of about 150 metres. The data was abstracted from the video recordings using a computer event recorder program. The parameters considered in the analysis include vehicles’ approaching speed, distance from the stop line at the onset of amber, the position in the platoon as well as the types of vehicles driven. The result of the analysis shows that about 13.43% of the drivers tend to accelerate to clear the intersection at the onset of amber period and about 26.32% of the drivers ended up with running the red light. A binary logistic model to explain the possible decision made by a driver for a given set of conditions was developed. The analysis shows that the probability of drivers’ decision either to stop or proceed at an onset of amber period is influenced by his/her distance from the stop line and his/her position in the platoon. Penerbit UTM Press 2015 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/58333/1/OthmanChePuan2015_DriversDecisionModelatanOnsetofAmber.pdf Che Puan, Othman and Ibrahim, Muttaka Na’iya and Muhammad Nor, Nur Syahriza and Triana, Era (2015) Driver's decision model at an onset of amber period at signalised intersections. Jurnal Teknologi, 72 (5). pp. 35-39. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v72.3937
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Che Puan, Othman
Ibrahim, Muttaka Na’iya
Muhammad Nor, Nur Syahriza
Triana, Era
Driver's decision model at an onset of amber period at signalised intersections
description Driving is a complex task and, probably, the most dangerous activity on roadways because it involves instantaneous decision making by drivers. A traffic signal–controlled intersection is one of road facilities which require drivers to make an instantaneous decision at the onset of amber period. This paper describes the application of a regression approach to evaluate the factors that influence the decision made by a driver whether to proceed or to stop at the stop line at the onset of amber period at signalised intersections. More than 2,700 drivers approaching the stop–line at the onset of amber period at six intersections installed with a fixed–time traffic signal–control system were observed. Two video cameras were used to record the movements of vehicles approaching the intersection from a distance of about 150 metres. The data was abstracted from the video recordings using a computer event recorder program. The parameters considered in the analysis include vehicles’ approaching speed, distance from the stop line at the onset of amber, the position in the platoon as well as the types of vehicles driven. The result of the analysis shows that about 13.43% of the drivers tend to accelerate to clear the intersection at the onset of amber period and about 26.32% of the drivers ended up with running the red light. A binary logistic model to explain the possible decision made by a driver for a given set of conditions was developed. The analysis shows that the probability of drivers’ decision either to stop or proceed at an onset of amber period is influenced by his/her distance from the stop line and his/her position in the platoon.
format Article
author Che Puan, Othman
Ibrahim, Muttaka Na’iya
Muhammad Nor, Nur Syahriza
Triana, Era
author_facet Che Puan, Othman
Ibrahim, Muttaka Na’iya
Muhammad Nor, Nur Syahriza
Triana, Era
author_sort Che Puan, Othman
title Driver's decision model at an onset of amber period at signalised intersections
title_short Driver's decision model at an onset of amber period at signalised intersections
title_full Driver's decision model at an onset of amber period at signalised intersections
title_fullStr Driver's decision model at an onset of amber period at signalised intersections
title_full_unstemmed Driver's decision model at an onset of amber period at signalised intersections
title_sort driver's decision model at an onset of amber period at signalised intersections
publisher Penerbit UTM Press
publishDate 2015
url http://eprints.utm.my/id/eprint/58333/1/OthmanChePuan2015_DriversDecisionModelatanOnsetofAmber.pdf
http://eprints.utm.my/id/eprint/58333/
http://dx.doi.org/10.11113/jt.v72.3937
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