Design and Simulation of Safe Truck-Cargo Matching System for Rollover Prevention

Abstract

Commercial vehicles have a higher center of gravity than passenger vehicles, so the rollover rate is higher. In particular, overloading has the effect of further raising the center of gravity, causing rollover even at small lateral acceleration. In this study, we propose a system that identifies and recommends trucks that can safely drive on curved roads by finding factors that cause vehicle rollover through cargo information and driving conditions. It is expected that drivers will be able to transport more safely by preventing overloading, and users will be able to reduce transportation costs by reducing the occurrence of errors in vehicle selection.