A multi-agent LLM framework automatically generates traffic simulations, a broadcast-spoofing cyberattack, and a consensus defense, reducing attack-induced travel delay by 3.3% in a five-vehicle case study.
An innovative attack modeling and attack detection approach for a waiting time-based adaptive traffic signal controller
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Exploring Traffic Simulation and Cybersecurity Strategies Using Large Language Models
A multi-agent LLM framework automatically generates traffic simulations, a broadcast-spoofing cyberattack, and a consensus defense, reducing attack-induced travel delay by 3.3% in a five-vehicle case study.