Can LLMs simulate traffic with natural language?
LASER: Script Execution by Autonomous Agents for On-demand Traffic Simulation
October 22, 2024
https://arxiv.org/pdf/2410.16197This paper introduces LASER, a framework using LLMs to generate realistic traffic scenarios for testing autonomous driving systems.
LASER achieves this by first generating human-readable scripts detailing the step-by-step actions of each vehicle in the scenario. These scripts are then executed by individual LLM-controlled agents, allowing for complex and interactive emergent behavior. LASER enables testing in rare, on-demand scenarios not easily captured by real-world data or traditional simulation methods.