Enhancing Manual Unloading Efficiency Through Automated Load Balancing Mechanisms

Abstract

Road safety is a critical concern in the transportation industry, particularly for heavy-duty vehicles such as lorries, trucks, and buses. These vehicles, while essential for logistics and public transportation, are often overrepresented in road accidents—primarily due to instability caused by improper load distribution. This issue becomes especially hazardous when navigating curved roads, sharp turns, or hilly terrains, where the impact of centrifugal forces can lead to vehicle tilting, skidding, or overturning. In many cases, the problem is exacerbated by uneven loading practices common in vehicles where goods are manually loaded and unloaded, such as those carrying construction materials, agricultural produce, or industrial components. Traditional safety mechanisms such as road banking, signage, and speed limits remain passive and do not adapt to the dynamic internal conditions of the vehicle. These methods place the entire burden of stability control on the driver, leaving room for human error, fatigue, or unexpected road conditions to cause severe consequences. To address this challenge, this project introduces an automatic load balancing system specifically designed for manually unloaded vehicles. The proposed system integrates sensors, actuators, and an embedded controller to continuously monitor and adjust load distribution in real-time, thereby enhancing vehicle stability and reducing accident risks on curved or uneven roads.