LifeSaver: Predictive Load Limit Estimation for Transport Vehicles in Hilly Areas

TL;DR

This paper introduces a device that uses load sensors and microcontrollers to monitor and detect overloaded or insecure cargo on trucks in mountainous regions, aiming to improve safety and reduce accidents.

Contribution

The paper presents a novel real-time load monitoring device with prototype development and testing for transport safety in hilly areas.

Findings

Prototype successfully detects improper loads

Enhanced sensor setup improves accuracy

System can alert drivers to unsafe conditions

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.