Novel Quantitative Approach for Assessing Driving Risks and Simulation Study of Its Prevention and Control Strategies

doi:10.3901/JME.2024.10.207

Abstract

Abstract: Accurately quantifying the integrated influence of diverse, time-varying factors associated with drivers, vehicles, and road conditions on driving risk has persistently presented a formidable obstacle in advancing intelligent automotive safety technologies. The novel approach proposed quantifies driving risks by considering driving behavior characteristics and introduces corresponding strategies for preventing and controlling these risks. The method combines driving risk quantification with an equivalent force model, designing a field model framework for driving risk. It considers the variability of the vehicle’s driving path by Frenet coordinate transformation and considers lane constraints when establishing different risk gradient adjustment coefficients for the longitudinal and lateral directions of the vehicle, which is employed to create significant distinctions in driving risk between the longitudinal and lateral directions of the vehicle. As a result, three high-speed highway straight-ahead conflict scenarios and nine unsignalized intersection conflict scenarios are developed to effectively compare driving risk prevention and control indicators with the LCM model and TTI threshold, respectively. Simulation results show that the developed vehicle-driving decision-making model can identify risks in all directions and actively implement risk prevention and control measures, providing enhanced safety compared to the LCM model. Furthermore, the left-turn risk prevention and control algorithm established here achieves a collision rate of 0 in 900 unsignalized intersection simulations, offering improved traffic efficiency and safety compared to the TTI threshold algorithm.

Key words: driving risk, quantitative modeling, risk prevention and control, driving safety field

CLC Number:

U461

ZHENG Xunjia, JIANG Junhao, HUANG Heye, WANG Jianqiang, XU Qing, ZHANG Qiang. Novel Quantitative Approach for Assessing Driving Risks and Simulation Study of Its Prevention and Control Strategies[J]. Journal of Mechanical Engineering, 2024, 60(10): 207-221.

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