INTELLECTUAL SAFETY OF ELECTRIC SCOOTERS WITH SMARTSTOP TECHNOLOGY

The article considers the problem of improving the safety of electric scooters in the urban environment through the development and implementation of the SMARTSTOP intelligent system. The proposed system is based on adaptive speed control and automated braking using sensor technologies and real-time algorithms. The key components of the system are ultrasonic sensors, an Arduino Nano microcontroller, a potentiometer, a servo drive, an electric motor, an LCD display, and a piezoelectric speaker. SMARTSTOP allows you to effectively detect static and dynamic obstacles within 5-6 m. with a viewing angle of 150 degrees, determine the level of threat and respond accordingly by slowing down or initiating automatic braking. The system was tested using the Hardware-in-the-Loop (HiL) methodology on the MATLAB/Simulink platform, which allowed us to simulate various road scenarios. The test results confirmed the high efficiency and accuracy of the system, which ensures timely response to potential hazards. Further development areas include improving algorithms for difficult operating conditions and integrating SMARTSTOP with smart city technologies.