Impact of ACO intelligent vehicle real-time software in finding shortest path

Abstract

In the modern e-commerce landscape, timely package delivery faces hurdles amid fluctuating traffic conditions. This article proposes optimization techniques employing adaptable intelligent systems for dynamic route adjustments. The primary approach used here is an AI-driven optimal path routing system, leveraging Ant Colony Optimization (ACO) and Genetic Algorithm (GA). Integration of Google Maps (G-Map API) with real-time traffic data enhances route accuracy, ensuring efficient vehicle routing. By addressing these challenges, this research aims to streamline delivery processes and contribute to the advancement of vehicle routing methodologies in the dynamic e-commerce domain.