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

## TL;DR

CARJAN is a new tool that enables semi-automated, interactive generation and simulation of complex urban traffic scenarios involving various agent types using a user-friendly interface and advanced decision-making frameworks.

## Contribution

It introduces an integrated approach combining AJAN, SPARQL Behavior Trees, and CARLA for efficient traffic scenario modeling and simulation.

## Key findings

- Supports diverse agent interactions in traffic scenarios
- Provides a visual interface for scenario creation and management
- Enables dynamic, realistic traffic simulations

## 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.