Volume 23 Issue 5
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GUO Yan-yong, LIU Pei, YUAN Quan, LIU Pan, XU Jin, ZHANG Hui. Review on research of road traffic safety of connected and automated vehicles[J]. Journal of Traffic and Transportation Engineering, 2023, 23(5): 19-38. doi: 10.19818/j.cnki.1671-1637.2023.05.002
Citation: GUO Yan-yong, LIU Pei, YUAN Quan, LIU Pan, XU Jin, ZHANG Hui. Review on research of road traffic safety of connected and automated vehicles[J]. Journal of Traffic and Transportation Engineering, 2023, 23(5): 19-38. doi: 10.19818/j.cnki.1671-1637.2023.05.002
shu

Review on research of road traffic safety of connected and automated vehicles

doi: 10.19818/j.cnki.1671-1637.2023.05.002
  • 1.

    School of Transportation, Southeast University, Nanjing 211189, Jiangsu, China

  • 2.

    School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China

  • 3.

    School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China

  • 4.

    Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, Hubei, China

Funds:

National Nature Science Foundation of China 52272343

National Nature Science Foundation of China 51925801

National Nature Science Foundation of China 52232012

More Information
  • Author Bio:

    GUO Yan-yong(1985-), male, professor, PhD, guoyanyong@seu.edu.cn

    LIU Pan(1979-), male, professor, PhD, liupan@seu.edu.cn

  • Received Date: 2023-03-21
    Available Online: 2023-11-17
  • Publish Date: 2023-10-25
    Abstract
  • To comprehensively understand the research progress in the field of traffic safety concerning connected and automated vehicles (CAVs), a bibliometric method was used to retrieve key words, such as connected and automated (autonomous) vehicles, connected (autonomous) vehicles, and traffic safety (accident, crash, collision, conflict) through the Web of Science core database. A total of 2 130 relevant publications spanning from 2010 to 2021 were retrieved. These publications encompassed contributions from 5 474 authors and addressed 7 017 key words. A map of scientific knowledge was employed to analyze, summarize, and visual elucidate the developmental trajectory, research affiliations, research themes and contents, and research focal points of investigations in the realm of road traffic safety for CAVs. By scrutinizing the research themes and focal points, forthcoming research directions were delineated. Analysis results show that the study of road traffic safety for CAVs has undergone stages of inception, gradual progression, and rapid expansion. Presently, the United States and China are the foremost contributors to research on the road traffic safety for CAVs. Research themes primarily focus on the macro and micro traffic flow, traffic system impacts (travel, traffic environment, and traffic safety), vehicle safety and obstacle avoidance, route planning, and traffic safety assessment. Research focal points encompass the CAV traffic control, system optimization, new hybrid traffic flow safety analysis, micro-behavior modeling, and simulation-based safety evaluation. Future research should pivot towards a transition from the single-vehicle safety to the traffic flow accident risk propagation. This shift calls for breakthroughs in intelligent connected fleet decision-making and formation control technology. Additionally, there is a need to establish a virtual reality-based intelligent connected data-driven simulation environment, coupled with an in-depth testing platform. These advancements will facilitate an assessment system of driver takeover performance in the context of CAV man-machine co-driving scenarios. Ultimately, this will enable a refined analysis on the accident risk causation, traffic safety modeling and assessment, as well as the development of strategies and algorithms for the accident risk prevention and control.

     

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