Publikation
CARJAN: Agent-Based Generation and Simulation of Traffic Scenarios with AJAN
Leonard Frank Neis; André Antakli; Matthias Klusch
In: Proc. 18th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2026), Scitepress, 2026.
Zusammenfassung
User-friendly modeling and virtual simulation of urban traffic scenarios with different types of interacting agents such as pedestrians, cyclists and autonomous vehicles remains a challenge. We present CARJAN, a novel tool for semi-automated generation and simulation of such scenarios based on the multi-agent engineering framework AJAN and the driving simulator CARLA. CARJAN provides a visual user interface for the modeling, storage and maintenance of traffic scenario layouts, and leverages SPARQL Behavior Tree-based decision-making and interactions for agents in dynamic scenario simulations in CARLA. CARJAN
provides a first integrated approach for interactive, intelligent agent-based generation and simulation of virtual traffic scenarios in CARLA.
Projekte
- MOMENTUM - Robustes Lernen mit Hybrider KI für vertrauenswürdige Interaktion von Menschen und Maschinen in komplexen Umgebungen
- TwinMaP - Digitaler Zwilling eines heterogenen Maschinenparks zur Komplettbearbeitung von Bauteilen
- InnovAIte Slovakia - InnovAIte Slovakia: Illuminating Pathways for AIDriven Breakthroughs