Adaptive Cruise Control tuned by Genetic Algorithm for Safe Distance of Automated Vehicle

نویسندگان

چکیده

Abstract The importance of safety in transportation has forced developments automated vehicles. Many control methods have been introduced to ensure safe distance between vehicle and another car. This article presents an adaptive cruise whose parameters are tuned by genetic algorithm for the case study vehicle. Two algorithms with two different objective functions, i.e., integral square error (ISE) absolute (IAE), were evaluated. results show that could work well using both functions indicated obtained best fitness values through generations. optimal controller parameter them also seems be similar each other, including distance, velocity acceleration response It is only standard deviation differs them. After 20 running tests, IAE produced 0.0288, 0.0439, 0.0134 verr_gain, xerr_gain, vx_gain, respectively, while ISE got 0.0169, 0.0755, 0.0101. From total deviation, we can conclude GA performs slightly better since it smaller value indicating repeatability.

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ژورنال

عنوان ژورنال: IOP conference series

سال: 2023

ISSN: ['1757-899X', '1757-8981']

DOI: https://doi.org/10.1088/1755-1315/1203/1/012026