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Research on Influencing Factors of Traffic Conflicts in Freeway Diverging Area during the Maintenance Period.

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Title: Research on Influencing Factors of Traffic Conflicts in Freeway Diverging Area during the Maintenance Period.
Authors: Yuntao Ye, Jie He, Haifeng Wang, Changjian Zhang, Xintong Yan, Chenwei Wang
Source: Journal of Transportation Engineering. Part A. Systems; Feb2022, Vol. 149 Issue 2, p1-18, 18p
Subject Terms: Traffic conflicts, Maintenance, Logistic regression analysis, Express highways, Microscopy
Abstract: Based on the traffic conflict techniques, a microscopic safety analysis framework is presented to study traffic conflicts in the freeway exit ramp diverging area (FERDA) during the maintenance period. A manual-software combination data processing approach was used to extract trajectory data from aerial videos and identify actual conflicts. Simulation conflicts were obtained from the VISSIM simulation model. Firstly, the conflict features of maintenance and normal operation periods were compared. Subsequently, conflicts were classified as lane-change conflicts or rear-end conflicts to investigate their spatiotemporal characteristics during the maintenance period. Finally, a random parameters multinomial logit model was developed to study the influencing factors and heterogeneity of conflicts. The results revealed that the FERDA has a higher collision risk during the maintenance period compared with the normal operation period. Additionally, lane-change conflicts have a higher occurrence probability than rear-end conflicts, but a shorter duration. Besides, the conflict density heat map showed that the lane-change conflicts and rear-end conflicts are densely distributed at 0-150 m and the middle lane of the FERDA, respectively. The model results indicated that the factors that significantly influence conflicts include velocity, acceleration, type, position, and destination of vehicle, the heavy vehicle percentage, total number of vehicles in the FERDA, and the velocity and destination difference between vehicles. Among these factors, the type of vehicle, destination difference, and the position of vehicles (at 150-270 m of the FERDA) were found that have significantly heterogeneous impacts on the two types of conflicts. This study is expected to provide safety analysts with an effective analysis method for evaluating the risk of the FERDA during the maintenance period. Additionally, the concluded influencing factors can potentially help develop different and effective safety countermeasures for different types of conflicts. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Transportation Engineering. Part A. Systems is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Complementary Index
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PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Research on Influencing Factors of Traffic Conflicts in Freeway Diverging Area during the Maintenance Period.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Yuntao+Ye%22">Yuntao Ye</searchLink><br /><searchLink fieldCode="AR" term="%22Jie+He%22">Jie He</searchLink><br /><searchLink fieldCode="AR" term="%22Haifeng+Wang%22">Haifeng Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Changjian+Zhang%22">Changjian Zhang</searchLink><br /><searchLink fieldCode="AR" term="%22Xintong+Yan%22">Xintong Yan</searchLink><br /><searchLink fieldCode="AR" term="%22Chenwei+Wang%22">Chenwei Wang</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Journal of Transportation Engineering. Part A. Systems; Feb2022, Vol. 149 Issue 2, p1-18, 18p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Traffic+conflicts%22">Traffic conflicts</searchLink><br /><searchLink fieldCode="DE" term="%22Maintenance%22">Maintenance</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Express+highways%22">Express highways</searchLink><br /><searchLink fieldCode="DE" term="%22Microscopy%22">Microscopy</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Based on the traffic conflict techniques, a microscopic safety analysis framework is presented to study traffic conflicts in the freeway exit ramp diverging area (FERDA) during the maintenance period. A manual-software combination data processing approach was used to extract trajectory data from aerial videos and identify actual conflicts. Simulation conflicts were obtained from the VISSIM simulation model. Firstly, the conflict features of maintenance and normal operation periods were compared. Subsequently, conflicts were classified as lane-change conflicts or rear-end conflicts to investigate their spatiotemporal characteristics during the maintenance period. Finally, a random parameters multinomial logit model was developed to study the influencing factors and heterogeneity of conflicts. The results revealed that the FERDA has a higher collision risk during the maintenance period compared with the normal operation period. Additionally, lane-change conflicts have a higher occurrence probability than rear-end conflicts, but a shorter duration. Besides, the conflict density heat map showed that the lane-change conflicts and rear-end conflicts are densely distributed at 0-150 m and the middle lane of the FERDA, respectively. The model results indicated that the factors that significantly influence conflicts include velocity, acceleration, type, position, and destination of vehicle, the heavy vehicle percentage, total number of vehicles in the FERDA, and the velocity and destination difference between vehicles. Among these factors, the type of vehicle, destination difference, and the position of vehicles (at 150-270 m of the FERDA) were found that have significantly heterogeneous impacts on the two types of conflicts. This study is expected to provide safety analysts with an effective analysis method for evaluating the risk of the FERDA during the maintenance period. Additionally, the concluded influencing factors can potentially help develop different and effective safety countermeasures for different types of conflicts. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Transportation Engineering. Part A. Systems is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1061/JTEPBS.TEENG-7587
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 1
    Subjects:
      – SubjectFull: Traffic conflicts
        Type: general
      – SubjectFull: Maintenance
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Express highways
        Type: general
      – SubjectFull: Microscopy
        Type: general
    Titles:
      – TitleFull: Research on Influencing Factors of Traffic Conflicts in Freeway Diverging Area during the Maintenance Period.
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            NameFull: Yuntao Ye
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            NameFull: Jie He
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            NameFull: Haifeng Wang
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            NameFull: Changjian Zhang
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            NameFull: Xintong Yan
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            NameFull: Chenwei Wang
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            – D: 01
              M: 02
              Text: Feb2022
              Type: published
              Y: 2023
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              Value: 149
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            – TitleFull: Journal of Transportation Engineering. Part A. Systems
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