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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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. |
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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 |
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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. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Gao, Yidan Zhou, Qingji Chai, Chen Wong, Yiik Diew |
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Article |
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Gao, Yidan Zhou, Qingji Chai, Chen Wong, Yiik Diew |
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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 |
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2021 |
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https://hdl.handle.net/10356/150238 |
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1702431174235783168 |