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Risk level assessment method for urban intersections based on improved principal component analysis.

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Title: Risk level assessment method for urban intersections based on improved principal component analysis.
Authors: Zhao, Y. M.1 bbxyzym76@163.com, Chen, X. Y.2, Chen, H. X.1
Source: Advances in Transportation Studies. Jul2026, Vol. 69, p247-258. 12p.
Subjects: Risk assessment, Principal components analysis, City traffic, Feature extraction, Automobile travel, Road interchanges & intersections, Velocity measurements
Abstract: The traffic environment of urban intersections has time-varying non cooperative characteristics and multi-source disturbance coupling effects. Therefore, a risk level assessment method for urban intersections based on improved principal component analysis is proposed. Firstly, a dynamic reference point model and an outer rectangular prism are used to characterize the motion state of the target vehicle. The velocity is estimated through position difference, and the heading angle is obtained by fitting a quadratic curve. Secondly, improve principal component analysis to preserve indicator variation information through mean processing, and enhance feature extraction capability through logarithmic centralization. Finally, based on the entropy weighting method and objective weighting of the main components, five risk levels are classified according to the mean and standard deviation of the comprehensive evaluation value. The experimental results indicate that the Fl Score mean of the proposed method is 0.925, and the Spearman rank correlation coefficient remains stable at 0.95. [ABSTRACT FROM AUTHOR]
Copyright of Advances in Transportation Studies is the property of Advances in Transportation Studies 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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  Data: <searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Principal+components+analysis%22">Principal components analysis</searchLink><br /><searchLink fieldCode="DE" term="%22City+traffic%22">City traffic</searchLink><br /><searchLink fieldCode="DE" term="%22Feature+extraction%22">Feature extraction</searchLink><br /><searchLink fieldCode="DE" term="%22Automobile+travel%22">Automobile travel</searchLink><br /><searchLink fieldCode="DE" term="%22Road+interchanges+%26+intersections%22">Road interchanges & intersections</searchLink><br /><searchLink fieldCode="DE" term="%22Velocity+measurements%22">Velocity measurements</searchLink>
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  Data: The traffic environment of urban intersections has time-varying non cooperative characteristics and multi-source disturbance coupling effects. Therefore, a risk level assessment method for urban intersections based on improved principal component analysis is proposed. Firstly, a dynamic reference point model and an outer rectangular prism are used to characterize the motion state of the target vehicle. The velocity is estimated through position difference, and the heading angle is obtained by fitting a quadratic curve. Secondly, improve principal component analysis to preserve indicator variation information through mean processing, and enhance feature extraction capability through logarithmic centralization. Finally, based on the entropy weighting method and objective weighting of the main components, five risk levels are classified according to the mean and standard deviation of the comprehensive evaluation value. The experimental results indicate that the Fl Score mean of the proposed method is 0.925, and the Spearman rank correlation coefficient remains stable at 0.95. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Advances in Transportation Studies is the property of Advances in Transportation Studies 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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        Value: 10.53136/979122182735415
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 247
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      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Principal components analysis
        Type: general
      – SubjectFull: City traffic
        Type: general
      – SubjectFull: Feature extraction
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      – SubjectFull: Automobile travel
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      – SubjectFull: Road interchanges & intersections
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      – SubjectFull: Velocity measurements
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      – TitleFull: Risk level assessment method for urban intersections based on improved principal component analysis.
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            – D: 01
              M: 07
              Text: Jul2026
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              Y: 2026
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