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A traffic management system for large and heterogeneous vehicles in narrow industrial environments
The coordination of Automated Guided Vehicles (AGVs) in high-density industrial environments represents a critical challenge within Logistics 4.0, as traditional traffic management methods often lead to inefficiencies caused by negotiation-based priority assignment. To overcome the resulting limitations, this paper presents an innovative AGV traffic management system based on a Lifelong Multi-Agent Path Finding (L-MAPF) algorithm operating on roadmaps generated with Non-Uniform Rational B-Splines (NURBS) curves. The approach guarantees locally optimal coordination and ensures safe operation of
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T16:20:51.000Z
First collected: 2026-09-20T19:32:24.350Z. This is not the publication date.