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Research on the effectiveness of a intersection risk warning system based on driving simulation experiment

In order to improve the traffic safety condition of intersections, a real-time traffic conflict risk warning system (RTCRWS) is proposed for uncontrolled intersections. To evaluate the effectiveness of this system, a driving simulation experiment was designed and conducted. In this study, a virtual...

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Autores principales: Zhou, Yiwen, Guo, Fengxiang, Yang, Wenchen, Wan, Huasen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293919/
https://www.ncbi.nlm.nih.gov/pubmed/35851057
http://dx.doi.org/10.1038/s41598-022-16297-x
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author Zhou, Yiwen
Guo, Fengxiang
Yang, Wenchen
Wan, Huasen
author_facet Zhou, Yiwen
Guo, Fengxiang
Yang, Wenchen
Wan, Huasen
author_sort Zhou, Yiwen
collection PubMed
description In order to improve the traffic safety condition of intersections, a real-time traffic conflict risk warning system (RTCRWS) is proposed for uncontrolled intersections. To evaluate the effectiveness of this system, a driving simulation experiment was designed and conducted. In this study, a virtual experimental scene including static road, traffic environment and dynamic traffic flow was constructed, and 45 drivers were recruited to complete the driving simulation experiment at 13 intersections. Three different data analysis methods were employed: (1) descriptive analysis of driving behavior characteristics; (2) descriptive analysis of physiological and psychological reactions of drivers; (3) Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) of RTCRWS. The results show that RTCRWS can effectively control the vehicle speed and reduce the driver's tension. In addition, the following conclusions are also drawn: (1) The early warning signs with better warning effect among the two types signs of RTCRWS were compared; (2) Among the elderly and young and middle-aged drivers, RTCRWS has a better warning effect on the elderly drivers. (3) Among the male and female drivers, RTCRWS has a better warning effect on female drivers.
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spelling pubmed-92939192022-07-20 Research on the effectiveness of a intersection risk warning system based on driving simulation experiment Zhou, Yiwen Guo, Fengxiang Yang, Wenchen Wan, Huasen Sci Rep Article In order to improve the traffic safety condition of intersections, a real-time traffic conflict risk warning system (RTCRWS) is proposed for uncontrolled intersections. To evaluate the effectiveness of this system, a driving simulation experiment was designed and conducted. In this study, a virtual experimental scene including static road, traffic environment and dynamic traffic flow was constructed, and 45 drivers were recruited to complete the driving simulation experiment at 13 intersections. Three different data analysis methods were employed: (1) descriptive analysis of driving behavior characteristics; (2) descriptive analysis of physiological and psychological reactions of drivers; (3) Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) of RTCRWS. The results show that RTCRWS can effectively control the vehicle speed and reduce the driver's tension. In addition, the following conclusions are also drawn: (1) The early warning signs with better warning effect among the two types signs of RTCRWS were compared; (2) Among the elderly and young and middle-aged drivers, RTCRWS has a better warning effect on the elderly drivers. (3) Among the male and female drivers, RTCRWS has a better warning effect on female drivers. Nature Publishing Group UK 2022-07-18 /pmc/articles/PMC9293919/ /pubmed/35851057 http://dx.doi.org/10.1038/s41598-022-16297-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhou, Yiwen
Guo, Fengxiang
Yang, Wenchen
Wan, Huasen
Research on the effectiveness of a intersection risk warning system based on driving simulation experiment
title Research on the effectiveness of a intersection risk warning system based on driving simulation experiment
title_full Research on the effectiveness of a intersection risk warning system based on driving simulation experiment
title_fullStr Research on the effectiveness of a intersection risk warning system based on driving simulation experiment
title_full_unstemmed Research on the effectiveness of a intersection risk warning system based on driving simulation experiment
title_short Research on the effectiveness of a intersection risk warning system based on driving simulation experiment
title_sort research on the effectiveness of a intersection risk warning system based on driving simulation experiment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293919/
https://www.ncbi.nlm.nih.gov/pubmed/35851057
http://dx.doi.org/10.1038/s41598-022-16297-x
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