• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 60 Issue 5
Oct.  2025
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Article Contents
JI Xiaofeng, XU Yinghao, HAO Jingjing, QIN Wenwen. Time Covariate Modeling of Overtaking Risk Evolution on Two-Lane Highways[J]. Journal of Southwest Jiaotong University, 2025, 60(5): 1240-1249. doi: 10.3969/j.issn.0258-2724.20230449
Citation: JI Xiaofeng, XU Yinghao, HAO Jingjing, QIN Wenwen. Time Covariate Modeling of Overtaking Risk Evolution on Two-Lane Highways[J]. Journal of Southwest Jiaotong University, 2025, 60(5): 1240-1249. doi: 10.3969/j.issn.0258-2724.20230449

Time Covariate Modeling of Overtaking Risk Evolution on Two-Lane Highways

doi: 10.3969/j.issn.0258-2724.20230449
  • Received Date: 03 Sep 2023
  • Rev Recd Date: 17 Mar 2024
  • Available Online: 11 Jul 2025
  • Publish Date: 26 Mar 2024
  • In order to obtain the temporal characteristics of overtaking risk evolution on two-lane highways, a full-parameter accelerated failure time (AFT) model based on an improved shape parameter covariate modeling method was proposed to predict the expected overtaking time of the road section, which was carried out after introducing the overtaking risk sight distance index to analyze the evolution characteristics of overtaking risk. A total of 328 sets of complete overtaking trajectory data collected by UAVs in typical overtaking road sections were analyzed and compared. The results show that the overtaking risk evolution consists of two stages: a risk-increasing stage (T1) and a risk-decreasing stage (T2). The average overtaking distances for T1 and T2 are 141.10 and 99.41 m, respectively, and the average durations are 8.18 and 5.61 s, respectively, indicating a significant occurrence of speeding during overtaking. Oncoming vehicles can prolong T1, while overtaking of trucks can shorten T1, indicating a strong effect of scene heterogeneity. The full-parameter AFT model demonstrates better performance in terms of data fitting and heterogeneity capturing. The mean overtaking speed, overtaking distance, and standard deviation of relative lateral deviation were identified as key covariates of the model. Under a survival rate of 1%, the expected overtaking time ranges for the three studied scenarios are 18–93, 18–50 s, and 18–39 s, respectively. The research advances the overtaking duration modeling method for two-lane highways and provides valuable insights for the management of overtaking on existing road sections and the design of road sections under construction.

     

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