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Traffic safety analysis of inter-tunnel weaving section with conflict prediction models

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Title: Traffic safety analysis of inter-tunnel weaving section with conflict prediction models
Authors: Ouyang, Pengying, Wu, Jiaming, 1989, Xu, Chengcheng, Bai, Lu, Li, Xuefeng
Source: Journal of Transportation Safety and Security. 14(4):630-654
Subject Terms: traffic safety, Bayesian data analysis, negative binomial regression, conflict prediction model, inter-tunnel weaving section
Description: With increasing traffic demand in urban areas of metropolises, many tunnels have been constructed to improve road capacity and traffic mobility. The distance between two consecutive tunnels is relatively short which usually forms a weaving section, leading to considerable traffic conflicts. The objective of this study is to evaluate the safety performance of such inter-tunnel sections. Conflict prediction models based on negative binomial regression were developed to identify influential factors. Field data were collected at ten selected sites in Nanjing, China, and used for calibrating and validating the proposed models. Two types of inter-tunnel weaving sections (type 1 and type 2) were found in the field with distinct lane markings and operation rules. The unique lane markings in type 1 weaving sections are designed to isolate weaving traffic flows and thus reduce conflicts, but in practice, contradictory to its design intention, lead to more traffic conflicts compared with type 2 weaving sections. In addition, the length of the diverging section, merging section, and whole weaving section are found to be significant influencing factors on the conflict occurrence. The findings in the present study are expected to help engineers better design inter-tunnel sections.
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  Data: Traffic safety analysis of inter-tunnel weaving section with conflict prediction models
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  Data: <searchLink fieldCode="AR" term="%22Ouyang%2C+Pengying%22">Ouyang, Pengying</searchLink><br /><searchLink fieldCode="AR" term="%22Wu%2C+Jiaming%22">Wu, Jiaming</searchLink>, 1989<br /><searchLink fieldCode="AR" term="%22Xu%2C+Chengcheng%22">Xu, Chengcheng</searchLink><br /><searchLink fieldCode="AR" term="%22Bai%2C+Lu%22">Bai, Lu</searchLink><br /><searchLink fieldCode="AR" term="%22Li%2C+Xuefeng%22">Li, Xuefeng</searchLink>
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  Data: <i>Journal of Transportation Safety and Security</i>. 14(4):630-654
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  Data: <searchLink fieldCode="DE" term="%22traffic+safety%22">traffic safety</searchLink><br /><searchLink fieldCode="DE" term="%22Bayesian+data+analysis%22">Bayesian data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22negative+binomial+regression%22">negative binomial regression</searchLink><br /><searchLink fieldCode="DE" term="%22conflict+prediction+model%22">conflict prediction model</searchLink><br /><searchLink fieldCode="DE" term="%22inter-tunnel+weaving+section%22">inter-tunnel weaving section</searchLink>
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  Label: Description
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  Data: With increasing traffic demand in urban areas of metropolises, many tunnels have been constructed to improve road capacity and traffic mobility. The distance between two consecutive tunnels is relatively short which usually forms a weaving section, leading to considerable traffic conflicts. The objective of this study is to evaluate the safety performance of such inter-tunnel sections. Conflict prediction models based on negative binomial regression were developed to identify influential factors. Field data were collected at ten selected sites in Nanjing, China, and used for calibrating and validating the proposed models. Two types of inter-tunnel weaving sections (type 1 and type 2) were found in the field with distinct lane markings and operation rules. The unique lane markings in type 1 weaving sections are designed to isolate weaving traffic flows and thus reduce conflicts, but in practice, contradictory to its design intention, lead to more traffic conflicts compared with type 2 weaving sections. In addition, the length of the diverging section, merging section, and whole weaving section are found to be significant influencing factors on the conflict occurrence. The findings in the present study are expected to help engineers better design inter-tunnel sections.
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      – Type: doi
        Value: 10.1080/19439962.2020.1801924
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      – Text: English
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      – SubjectFull: traffic safety
        Type: general
      – SubjectFull: Bayesian data analysis
        Type: general
      – SubjectFull: negative binomial regression
        Type: general
      – SubjectFull: conflict prediction model
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      – SubjectFull: inter-tunnel weaving section
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            NameFull: Ouyang, Pengying
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            NameFull: Wu, Jiaming
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            NameFull: Xu, Chengcheng
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              Type: published
              Y: 2022
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