Safety impact of right-turn waiting area at signalised junctions conditioned on driver’s decision-making based on Fuzzy Cellular Automata

Right-turn waiting area (RWA) is a short demarcated queueing area ahead of the stop line that allows the right-turn vehicles at signalised junctions under the permissive filtering signal operation to proceed into the junction-box at the onset of full green signal phase. The RWA layout gives guidance...

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Main Authors: Gao, Yidan, Zhou, Qingji, Chai, Chen, Wong, Yiik Diew
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/150238
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1502382021-06-04T05:25:45Z Safety impact of right-turn waiting area at signalised junctions conditioned on driver’s decision-making based on Fuzzy Cellular Automata Gao, Yidan Zhou, Qingji Chai, Chen Wong, Yiik Diew School of Civil and Environmental Engineering Transport Research Centre@NTU Engineering::Civil engineering Right-turn Waiting Area Signalised Junction Right-turn waiting area (RWA) is a short demarcated queueing area ahead of the stop line that allows the right-turn vehicles at signalised junctions under the permissive filtering signal operation to proceed into the junction-box at the onset of full green signal phase. The RWA layout gives guidance to vehicle placement of turning vehicles which improves safety and mitigates vehicle queue overflow of the right-turn vehicles. RWA enhances the capacity of right-turn lanes while alleviating conflict severity in some cases. This study analysed the safety impact of the conflict between opposing straight-through vehicles and right-turn vehicles at RWA junctions in Singapore. A microscopic simulation model based on Fuzzy Cellular Automata (FCA) was developed. Field surveys were carried out to obtain the inputs for calibrating the fuzzy inference system. Different scenarios were analysed and discussed including different types of junctions with and without RWAs. The proposed model is found to be able to simulate decision-making of individual drivers at RWA or before stop line, such as exiting the queueing area or crossing the stop line when faced with different gaps and velocity of opposing straight-through vehicles. Ministry of Education (MOE) This research is supported by Singapore Ministry of Education Academic Research Fund Tier 2 MOE2013-T2-2-073 and MOE2014-T2-2-097. 2021-06-04T05:25:44Z 2021-06-04T05:25:44Z 2019 Journal Article Gao, Y., Zhou, Q., Chai, C. & Wong, Y. D. (2019). Safety impact of right-turn waiting area at signalised junctions conditioned on driver’s decision-making based on Fuzzy Cellular Automata. Accident Analysis and Prevention, 123, 341-349. https://dx.doi.org/10.1016/j.aap.2018.12.008 0001-4575 0000-0002-5832-1304 0000-0002-5280-7194 https://hdl.handle.net/10356/150238 10.1016/j.aap.2018.12.008 30580145 2-s2.0-85058969866 123 341 349 en MOE2013-T2-2-073 MOE2014-T2-2-097 Accident Analysis and Prevention © 2018 Elsevier. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Right-turn Waiting Area
Signalised Junction
spellingShingle Engineering::Civil engineering
Right-turn Waiting Area
Signalised Junction
Gao, Yidan
Zhou, Qingji
Chai, Chen
Wong, Yiik Diew
Safety impact of right-turn waiting area at signalised junctions conditioned on driver’s decision-making based on Fuzzy Cellular Automata
description Right-turn waiting area (RWA) is a short demarcated queueing area ahead of the stop line that allows the right-turn vehicles at signalised junctions under the permissive filtering signal operation to proceed into the junction-box at the onset of full green signal phase. The RWA layout gives guidance to vehicle placement of turning vehicles which improves safety and mitigates vehicle queue overflow of the right-turn vehicles. RWA enhances the capacity of right-turn lanes while alleviating conflict severity in some cases. This study analysed the safety impact of the conflict between opposing straight-through vehicles and right-turn vehicles at RWA junctions in Singapore. A microscopic simulation model based on Fuzzy Cellular Automata (FCA) was developed. Field surveys were carried out to obtain the inputs for calibrating the fuzzy inference system. Different scenarios were analysed and discussed including different types of junctions with and without RWAs. The proposed model is found to be able to simulate decision-making of individual drivers at RWA or before stop line, such as exiting the queueing area or crossing the stop line when faced with different gaps and velocity of opposing straight-through vehicles.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Gao, Yidan
Zhou, Qingji
Chai, Chen
Wong, Yiik Diew
format Article
author Gao, Yidan
Zhou, Qingji
Chai, Chen
Wong, Yiik Diew
author_sort Gao, Yidan
title Safety impact of right-turn waiting area at signalised junctions conditioned on driver’s decision-making based on Fuzzy Cellular Automata
title_short Safety impact of right-turn waiting area at signalised junctions conditioned on driver’s decision-making based on Fuzzy Cellular Automata
title_full Safety impact of right-turn waiting area at signalised junctions conditioned on driver’s decision-making based on Fuzzy Cellular Automata
title_fullStr Safety impact of right-turn waiting area at signalised junctions conditioned on driver’s decision-making based on Fuzzy Cellular Automata
title_full_unstemmed Safety impact of right-turn waiting area at signalised junctions conditioned on driver’s decision-making based on Fuzzy Cellular Automata
title_sort safety impact of right-turn waiting area at signalised junctions conditioned on driver’s decision-making based on fuzzy cellular automata
publishDate 2021
url https://hdl.handle.net/10356/150238
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