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AI-Driven UAV and IoT Traffic Optimization: Large Language Models for Congestion and Emission Reduction in Smart Cities

Traffic congestion and carbon emissions remain pressing challenges in urban mobility. This study explores the integration of UAV (drone)-based monitoring systems and IoT sensors, modeled as induction loops, with Large Language Models (LLMs) to optimize traffic flow. Using the SUMO simulator, we cond...

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Principais autores: Álvaro Moraga , J. de Curtò, I. de Zarzà, Carlos T. Calafate
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-03-01
coleção:Drones
Assuntos:
traffic optimization
IoT
large language models
SUMO
smart mobility
AI-driven traffic control
Acesso em linha:https://www.mdpi.com/2504-446X/9/4/248
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