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Research on Vehicle Trajectory Deviation Characteristics on Freeways Using Natural Driving Trajectory Data

Author

Listed:
  • Zhenhua Dai

    (College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Cunshu Pan

    (College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Wenlei Xiong

    (CCCC Second Highway Consultant Co., Ltd., Wuhan 430056, China)

  • Rui Ding

    (College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Heshan Zhang

    (College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Jin Xu

    (College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
    Chongqing Key Laboratory of “Human-Vehicle-Road” Cooperation and Safety for Mountain Complex Environment, Chongqing Jiaotong University, Chongqing 400074, China)

Abstract

Lateral driving behavior analysis is the foundation of freeway cross-section design and the focus of road safety research. However, the factors that influence vehicle lateral driving behavior have not been clearly explained. The dataset of the natural driving trajectory of freeways is used in this study to analyze vehicle lateral driving behavior and trajectory characteristics. As vehicle trajectory characteristic indicators, parameters such as preferred trajectory deviation and standard deviation are extracted. The effects of lane position, speed, road safety facilities, and vehicle types on freeway trajectory behavior are investigated. The results show that lane width and lane position significantly impact vehicle trajectory distribution. As driving speed increases, the lateral distance between vehicles in the inner lane and the guardrail tends to increase. In contrast, vehicles in the outside lane will stay away from the road edge line, and vehicles in the middle lane will stay away from the right lane dividing line when the speed increases. Statistical analysis shows that the preferred trajectory distribution of the same vehicle type in different lane positions is significantly different among groups (Cohen’s d > 0.7). In the same lane, the lateral position characteristics of the center of mass of different vehicle types are basically the same (Cohen’s d < 0.35). This work aims to explain what variables cause trajectory deviation behaviors and how to design traffic safety facilities (guardrail and shoulder) and lane width to accommodate various vehicle types and design speeds.

Suggested Citation

  • Zhenhua Dai & Cunshu Pan & Wenlei Xiong & Rui Ding & Heshan Zhang & Jin Xu, 2022. "Research on Vehicle Trajectory Deviation Characteristics on Freeways Using Natural Driving Trajectory Data," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:14695-:d:967219
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    References listed on IDEAS

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    1. Shuo Liu & Junhua Wang & Ting Fu, 2016. "Effects of Lane Width, Lane Position and Edge Shoulder Width on Driving Behavior in Underground Urban Expressways: A Driving Simulator Study," IJERPH, MDPI, vol. 13(10), pages 1-14, October.
    2. Alan G. Wood & Linda J. Mountain & Richard D. Connors & Mike J. Maher, 2013. "Updating predictive accident models of modern rural single carriageway A-roads," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(1), pages 93-108, February.
    3. Yanpeng Wang & Jin Xu & Xingliang Liu & Zhanji Zheng & Heshan Zhang & Chengyu Wang, 2022. "Analysis on Risk Characteristics of Traffic Accidents in Small-Spacing Expressway Interchange," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
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