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<p>An accident analysis simulation for Adaptive Cruise Control (ACC) was developed using real vehicle test data under Euro NCAP Car-to-Car (CCRs, CCRm) scenarios. The Constant Time Gap policy was assumed, and four ACC parameters—Time Gap, the λ value, maximum deceleration, and Negative Jerk—were reverse-engineered from measurements and implemented in a MATLAB/Simulink–Prescan environment. The model reproduced the transition from Speed Control to Spacing Control and the associated deceleration profiles. Quantitative validation against the real vehicle tests showed strong agreement in four metrics: collision outcome, Inter-vehicle spacing at deceleration onset, maximum deceleration, and steady-state Time Gap. Using the reverse-engineered parameters, an actual crash case was reconstructed with comparable onset spacing and residual impact speed, confirming that the limit behavior of spacing control and the insufficient ACC deceleration observed in practice were faithfully captured. Consequently, the proposed framework enables consistent, quantitative evaluation of ACC intervention timing, deceleration response, and collision-avoidance feasibility under accident conditions, and provides a practical basis for accident reconstruction and safety assessment using real vehicle test data.</p>

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Accident Analysis Simulation Method for Adas Vehicles Through Reverse Engineering of Acc Parameters Based on Real-Vehicle Tests

  • 期刊论文

  • 发表日期：

    2026年4月3日

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  • Jong Hyuk Kim,
  • Dae Hyeon Lee,
  • Yeon Sub Lee,
  • Hyun Seo Han,
  • Jung Woo Park,
  • Woo Jeong Jeon

摘要

An accident analysis simulation for Adaptive Cruise Control (ACC) was developed using real vehicle test data under Euro NCAP Car-to-Car (CCRs, CCRm) scenarios. The Constant Time Gap policy was assumed, and four ACC parameters—Time Gap, the λ value, maximum deceleration, and Negative Jerk—were reverse-engineered from measurements and implemented in a MATLAB/Simulink–Prescan environment. The model reproduced the transition from Speed Control to Spacing Control and the associated deceleration profiles. Quantitative validation against the real vehicle tests showed strong agreement in four metrics: collision outcome, Inter-vehicle spacing at deceleration onset, maximum deceleration, and steady-state Time Gap. Using the reverse-engineered parameters, an actual crash case was reconstructed with comparable onset spacing and residual impact speed, confirming that the limit behavior of spacing control and the insufficient ACC deceleration observed in practice were faithfully captured. Consequently, the proposed framework enables consistent, quantitative evaluation of ACC intervention timing, deceleration response, and collision-avoidance feasibility under accident conditions, and provides a practical basis for accident reconstruction and safety assessment using real vehicle test data.