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August 10, 2026The International Journal of Robotics Research

A traffic management system for large and heterogeneous vehicles in narrow industrial environments

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Authors

ABAlessandro BonettiSPSilvia ProiaSGSimone Guidetti

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Overview

Randomized trial demonstrates improved efficiency and throughput in traffic management for automated guided vehicles, indicating better coordination in narrow industrial settings.

Key Points

  • This research aims to address traffic management inefficiencies for Automated Guided Vehicles in narrow industrial environments.
  • Developed a traffic management system using a Lifelong Multi-Agent Path Finding algorithm.
  • Integrated Bounded Horizon Conflict Based Search within a Rolling Horizon Conflict Resolution strategy.
  • Conducted experimental trials in realistic industrial environments for performance assessment.
  • Achieved up to 11% improvement in throughput compared to conventional rule-based systems.
  • Demonstrated effective conflict resolution in high-density settings using an adaptive time horizon.
  • Ensured safe operation and compliance with real AGVs during testing.

Cite This Study

Bonetti et al. (2026) studied this question.

synapsesocial.com/papers/6a797d3a9c20a9bbd31846b4https://doi.org/10.1177/02783649261470035
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