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Development of low-cost motorcycle over leaning warning system using Arduino

Daud, Firdaus (2022) Development of low-cost motorcycle over leaning warning system using Arduino. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Road accidents are one of the top causes of mortality in Malaysia, accounting for around one-third of all fatalities. Numerous motorcycle riders were involved in a fatal traffic accident because of a sharp corner. Likely, an inexperienced motorcyclist will find it difficult to lean the motorcycle when riding through the corner. The motorcyclist also may mistake their speed based on their lean angle. This research intends to build up a Low-Cost Motorcycle Danger Over Leaning Warning System to ensure that motorcyclist can estimate their lean angle when riding through the corner. The microcontroller that the system used is the Arduino Nano with the integration of a Gyro sensor and a GPS sensor to monitor the lean angle and speed. This device will alert the motorcyclist by blinking the LED light when the motorcycle’s lean angle has exceeded the standard limit. The advantage of using this system is its low cost and small component size. From the field test, the lean angle was found around 8° and did not exceed 20° with variable speed and corner radius. Although the 50m radius corner (roundabout) is smaller than the corner 72.62m, the lean angle was found 24% higher. Furthermore, the Average (Experiment Angle) was found to increase as the radius corner increased. The more radius corner tends to have the more lean angle. Additionally, the percentage difference decreases as the corner radius increases. The findings of this project allow us to identify the proper lean angle and speeds on variable corner radius for the future development of advanced motorbike safety features.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Angle, Radius, Motorcycle, Sensor, Corner, Speed, Variable, Motorcyclist, Speeds, Roundabout
Divisions: Library > Final Year Project > FTKMP
Depositing User: Mr Eiisaa Ahyead
Date Deposited: 28 Nov 2023 06:05
Last Modified: 28 Nov 2023 06:05
URI: http://digitalcollection.utem.edu.my/id/eprint/28049

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