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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM44499
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Overloading of vehicles is a significant issue in transportation systems, leading to various problems such as excessive road wear, increased fuel consumption, mechanical failures, and higher risks of accidents. Overloaded vehicles exert excessive pressure on roads and bridges, reducing their lifespan and contributing to frequent maintenance requirements. To address these challenges, an. Arduino-based Vehicle Overload Detection and Prevention System is proposed, aiming to provide an automated, cost-effective, and efficient solution for monitoring and preventing vehicle overloading. This system employs load sensors (strain gauges) placed strategically on the vehicle’s chassis to measure the weight being applied. These sensors continuously collect weight data and transmit it to an Arduino microcontroller, which processes the data and determines if the vehicle is within the permissible weight limit. If the measured weight exceeds the threshold, the system triggers an alert mechanism that includes visual and auditory warnings, such as LED indicators and buzzer alarms. Additionally, the system integrates an LCD display to show real-time weight readings and alert messages to the driver. To prevent the vehicle from operating while overloaded, the system can be integrated with the ignition system or braking system, restricting vehicle movement until the excess weight is removed. This preventive approach enhances road safety and reduces the likelihood of damage to transportation infrastructure. In conclusion, the Arduino-based Vehicle Overload Detection and Prevention System serves as a robust, scalable, and intelligent solution for mitigating vehicle overloading problems.
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Publication Date
4/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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