{"ID":2847739,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.00187","arxiv_id":"2511.00187","title":"IoT- and AI-informed urban air quality models for vehicle pollution monitoring","abstract":"With the rise of intelligent Internet of Things (IoT) systems in urban environments, new opportunities are emerging to enhance real-time environmental monitoring. While most studies focus either on IoT-based air quality sensing or physics-based modeling in isolation, this work bridges that gap by integrating low-cost sensors and AI-powered video-based traffic analysis with high-resolution urban air quality models. We present a real-world pilot deployment at a road intersection in Barcelona's Eixample district, where the system captures dynamic traffic conditions and environmental variables, processes them at the edge, and feeds real-time data into a high-performance computing (HPC) simulation pipeline. Results are validated against official air quality measurements of nitrogen dioxide (NO2). Compared to traditional models that rely on static emission inventories, the IoT-assisted approach enhances the temporal granularity of urban air quality predictions of traffic-related pollutants. Using the full capabilities of an IoT-edge-cloud-HPC architecture, this work demonstrates a scalable, adaptive, and privacy-conscious solution for urban pollution monitoring and establishes a foundation for next-generation IoT-driven environmental intelligence.","short_abstract":"With the rise of intelligent Internet of Things (IoT) systems in urban environments, new opportunities are emerging to enhance real-time environmental monitoring. While most studies focus either on IoT-based air quality sensing or physics-based modeling in isolation, this work bridges that gap by integrating low-cost s...","url_abs":"https://arxiv.org/abs/2511.00187","url_pdf":"https://arxiv.org/pdf/2511.00187v1","authors":"[\"Jan M. Armengol\",\"Vicente Masip\",\"Ada Barrantes\",\"Gabriel M. Beltrami\",\"Sergi Albiach\",\"Daniel Rodriguez-Rey\",\"Marc Guevara\",\"Albert Soret\",\"Eduardo Quiñones\",\"Elli Kartsakli\"]","published":"2025-10-31T18:47:16Z","proceeding":"physics.ao-ph","tasks":"[\"physics.ao-ph\",\"cs.CY\"]","methods":"[]","has_code":false}