A Coding Guide to Build an Autonomous Multi-Agent Logistics System with Route Planning, Dynamic Auctions, and Real-Time Visualization Using Graph-Based Simulation
Published:Dec 25, 2025 03:50
•1 min read
•MarkTechPost
Analysis
This article from MarkTechPost introduces a tutorial on building an autonomous multi-agent logistics system. The system simulates smart delivery trucks operating in a dynamic city environment. The key features include route planning, dynamic auctions for delivery orders, battery management, and seeking charging stations. The focus is on creating a system where each truck acts as an independent agent aiming to maximize profit. The article highlights the practical application of AI and multi-agent systems in logistics, offering a hands-on approach to understanding these complex systems. It's a valuable resource for developers and researchers interested in autonomous logistics and simulation.
Key Takeaways
- •Tutorial on building an autonomous multi-agent logistics system.
- •System simulates smart delivery trucks in a dynamic city environment.
- •Focus on route planning, dynamic auctions, and battery management.
Reference
“each truck behaves as an agent capable of bidding on delivery orders, planning optimal routes, managing battery levels, seeking charging stations, and maximizing profit”