Dhidik Prastiyanto, Esa Apriaskar, Feddy Setio Pribadi, Imam Khoirul Akbar, Ilya Amelia, Akhyar Abdillah Manaf
Road accidents cause fatalities and economic losses. Studies aim to reduce them using ADAS, including ACC, which ensures a safe distance. This research aims to contribute to ADAS development by addressing the optimization challenges of control algorithms for ACC parameters on curved roads with various curvatures of the roads. The road environment consists of a one-lane road with curvature radii 380 and 760 meters. Some algorithms are developed in this research for ACC with steering control on different road curvature, utilizing Crow Search Algorithm (CSA) and Genetic Algorithm (GA) with Integral Absolute Error (IAE) as the objective function to minimize errors for both control systems. The optimized parameters are GV, GX, and GVX for ACC and GY, kp and ki for steering control. This research develops the advancement of the two algorithms in the form of Archived CSA (ACSA) and GA (AGA), which have faster computational time. The archived methods demonstrate significant improvement by reducing computational time by 77-83% while maintaining competitive performance against original. Although OCSA produces the lowest average IAE values, namely 2.1851 for wide curve and 5.2330 for sharp curve, the archived methods stand out for their faster convergence. These results confirm that improved vehicle control in various road curvature enhances driver safety. © ICIC International 2026.
Department of Electrical Engineering, Universitas Negeri Semarang, Building E11, UNNES Sekaran Campus, Gunungpati, Semarang, 50229, Indonesia
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