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Review of Research on Road Traffic Operation Risk Prevention and Control

Author

Listed:
  • Yongji Ma

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Jinliang Xu

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Chao Gao

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Minghao Mu

    (Shandong Hi-Speed Group Co., Ltd., Jinan 250098, China)

  • Guangxun E

    (Shandong Hi-Speed Group Co., Ltd., Jinan 250098, China)

  • Chenwei Gu

    (School of Highway, Chang’an University, Xi’an 710064, China)

Abstract

Road traffic safety can be ensured by preventing and controlling the potential risks in road traffic operations. The relevant literature was systematically reviewed to identify the research context and status quo in the road traffic operation risk prevention and control field and identify the key study contents needing further research. As research material, the related English and Chinese literature published between 1996 and 2021 (as of 31st December 2021) was obtained through the Web of Science Core Collection and Chinese Science Citation Database. These research materials include 22,403 English and 7876 Chinese papers. Based on the bibliometrics, this study used CiteSpace software to conduct keyword co-occurrence analysis in the field. The results show that the relevant research topics mainly covered the risks of drivers, vehicles, roads, and the traffic environment. In the aspect of driver risks, the studies focused on driving behavior characteristics. In terms of vehicle risks, the related studies were mainly about the vehicle control system, driving assistance system, hazardous material transportation, automated driving technology, safe driving speed, and vehicle collision prediction. For the road risks, the safe driving guarantee of high-risk road sections, driving risks at intersections, and safe road alignment design were the three study hotspots. In terms of traffic environment risks, identifying traffic risk locations and driving safety guarantees under adverse weather conditions were the two main research highlights. Moreover, mathematical modeling was the main method for studying road traffic operation risk. Furthermore, the impact of environmental factors on drivers, the emergency rescue system for road traffic accidents, the connection between automated driving technology and safe driving theory, and the man–machine hybrid traffic flow characteristics are the subjects needing further research.

Suggested Citation

  • Yongji Ma & Jinliang Xu & Chao Gao & Minghao Mu & Guangxun E & Chenwei Gu, 2022. "Review of Research on Road Traffic Operation Risk Prevention and Control," IJERPH, MDPI, vol. 19(19), pages 1-26, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12115-:d:924506
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    References listed on IDEAS

    as
    1. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    2. Varotto, Silvia F. & Farah, Haneen & Toledo, Tomer & van Arem, Bart & Hoogendoorn, Serge P., 2018. "Modelling decisions of control transitions and target speed regulations in full-range Adaptive Cruise Control based on Risk Allostasis Theory," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 318-341.
    3. Feng Chen & Mingtao Song & Xiaoxiang Ma, 2019. "Investigation on the Injury Severity of Drivers in Rear-End Collisions Between Cars Using a Random Parameters Bivariate Ordered Probit Model," IJERPH, MDPI, vol. 16(14), pages 1-12, July.
    4. Wilson, F.A. & Stimpson, J.P., 2010. "Trends in fatalities from distracted driving in the United States, 1999 to 2008," American Journal of Public Health, American Public Health Association, vol. 100(11), pages 2213-2219.
    5. Xiong, Yingge & Tobias, Justin L. & Mannering, Fred L., 2014. "The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 109-128.
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    Cited by:

    1. Yuning Wang & Shuocheng Yang & Jinhao Li & Shaobing Xu & Jianqiang Wang, 2023. "An Emergency Driving Intervention System Designed for Driver Disability Scenarios Based on Emergency Risk Field," IJERPH, MDPI, vol. 20(3), pages 1-20, January.

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