LifeSaver: Predictive Load Limit Estimation for Transport Vehicles in Hilly Areas
Chanakya Rao, Vaibhav Chopra, Moksh Soni, Prashant Mishra
TL;DR
The paper addresses safety and efficiency challenges from overloading in mountainous regions and the inadequacy of traditional fixed weighbridges, proposing a low-cost, portable load-monitoring device. It details a hardware-centric approach using load cells, strain gauges, an HX711 ADC, and an Arduino platform to monitor weight distribution and estimate the center of gravity in real time. Two prototypes demonstrate progressive sensing capabilities: Prototype 1 with two load cells for lateral CoG and Prototype 2 with four load cells for full four-quadrant assessment, including practical thresholds and testing on an electric golf cart. The work suggests scalable paths to heavier vehicles, integration of additional sensors, and potential deployment in docks, borders, and remote mountainous routes to mitigate accidents and improve regulatory compliance.
Abstract
The transportation of essential goods in mountainous regions faces severe logistical challenges and frequent disruptions. To mitigate these difficulties, transport companies often overload trucks, which, though cost-saving, significantly heightens the risk of accidents and mechanical failures. This paper presents the development of a device that detects overloaded and insecurely fastened loads on trucks and commercial vehicles. Using advanced load sensors, the device offers real-time monitoring of cargo weight distribution, alerting drivers and authorities to unsafe conditions. The initial prototype utilised two basic load cells and an Arduino microcontroller. The second version was enhanced with four load cells and extended sensors. This version was tested by placing an electric golf cart onto the prototype. Various loads were then added to the cart in different orientations to assess whether the system could accurately detect improper or excessive load conditions.