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arXiv · 2508.21411

CARJAN: Agent-Based Generation and Simulation of Traffic Scenarios with AJAN

Leonard Frank Neis·Andre Antakli·Matthias Klusch
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Abstract

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.

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Leonard Frank Neis, Andre Antakli, Matthias Klusch. 2025-08-29. CARJAN: Agent-Based Generation and Simulation of Traffic Scenarios with AJAN. https://arxiv.org/abs/2508.21411

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