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En-route driving style recognition method based on LDA
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Jiao WANG1, Kai LIU2, **, Huizhe LI1, Peng CAO3, Qiuling WANG4
China Safety Science Journal | 2024, 34(10) : 197 - 204
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China Safety Science Journal | 2024, 34(10): 197-204
• Public safety •
En-route driving style recognition method based on LDA
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Jiao WANG1, Kai LIU2, **, Huizhe LI1, Peng CAO3, Qiuling WANG4
Affiliations
  • 1 School of Transportation and Logistics，Dalian University of Technology，Dalian Liaoning 116024，China
  • 2 School of Economics and Management，Dalian University of Technology，Dalian Liaoning 116024，China
  • 3 School of Transportation and Logistics，Southwest Jiaotong University，Chengdu Sichuan 610031，China
  • 4 College of Transportation Engineering，Chang'an University，Xi'an Shaanxi 710064，China
Published: 2024-10-28 doi: 10.16265/j.cnki.issn1003-3033.2024.10.1230
Outline
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To enhance the intelligent system's understanding of individual driving behavior under human-machine interaction driving circumstances，an en-route driving style recognition method based on LDA model was proposed. The method explored vehicle trajectory information from multi-dimensions to quickly extract and identify latent driving style features of drivers. Firstly，the semantic understanding rules of driving behavior were established to discretize continuous trajectory data into semantic vocabularies of driving behavior，considering the scene perception layer，pattern layer，operation layer and vehicle status layer. Secondly，according to topic perplexity and consistency，habitual driving styles were classified into four categories: stable，conservative，moderate and aggressive. Finally，each driver's en-route driving style was identified as a probabilistic combination of the aforementioned driving styles. The results show that the proposed en-route driving style recognition method considers drivers' heterogeneity and explains the phenomenon of the same driver exhibiting different driving styles in varying driving environments. Additionally，this research improves the comprehensiveness and comprehensibility of en-route driving style recognition.

latent Dirichlet allocation (LDA) topic model  /  en-route driving style  /  trajectory data  /  semantic understanding  /  driving behaviour
Jiao WANG, Kai LIU, Huizhe LI, Peng CAO, Qiuling WANG. En-route driving style recognition method based on LDA[J]. China Safety Science Journal, 2024 , 34 (10) : 197 -204 . DOI: 10.16265/j.cnki.issn1003-3033.2024.10.1230
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Year 2024 volume 34 Issue 10
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.10.1230
  • Receive Date：2024-04-15
  • Online Date：2025-07-09
  • Published：2024-10-28
Article Data
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History
  • Received：2024-04-15
  • Revised：2024-07-17
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Affiliations
    1 School of Transportation and Logistics，Dalian University of Technology，Dalian Liaoning 116024，China
    2 School of Economics and Management，Dalian University of Technology，Dalian Liaoning 116024，China
    3 School of Transportation and Logistics，Southwest Jiaotong University，Chengdu Sichuan 610031，China
    4 College of Transportation Engineering，Chang'an University，Xi'an Shaanxi 710064，China
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https://castjournals.cast.org.cn/joweb/zgaqkxxb/EN/10.16265/j.cnki.issn1003-3033.2024.10.1230
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