
SENZ-Lab: Stockholm EnviroNmental Zone digital Laboratory
Project period
January 2025 – December 2026
Objective
The SENZ-Lab project develops and validates a cost-efficient, real-time, dynamic sparse sensing approach for urban traffic monitoring and environmental footprint assessment in Stockholm’s Environmental Zone Class 3. Using acoustic sensors and AI-driven modelling, it seeks to establish a 2D digital twin of the city’s traffic, enabling real-time monitoring of noise, air pollution, and vehicle-level activity. The goal is to enhance traffic management, reduce emissions, and support sustainable urban mobility.
Background
As cities expand, noise and air pollution pose significant health risks. Traditional monitoring methods struggle with real-world complexity, requiring new solutions. Building on previous research in Stockholm’s Hornsgatan innovation zone, this project integrates IoT, AI, and real-time traffic simulations to improve monitoring accuracy and inform urban policy. The initiative aligns with Stockholm’s environmental goals and KTH’s strategic pillars of sustainability and digitalization.
Crossdisciplinary collaboration
The project brings together experts from multiple fields, including urban sensing, traffic modeling, AI, and GIS-based visualization. The consortium includes two research teams at KTH specialized in Acoustics and Geoinformatics, supported by the City of Stockholm, combining academic research with real-world urban planning needs. By integrating cutting-edge technology with policy-driven insights, the project provides practical solutions for creating quieter, healthier, and more sustainable cities.
Contacts

Romain Rumpler
Associate Professor in Engineering Acoustics, Marcus Wallenberg Laboratory for Sound and Vibration Research (MWL) at KTH SCI School, PI of project GEOMETRIC: GEO-based Multi-layer Environmental Modelling of Urban TRaffIC, Co-PI of project DIRAC: DynamIc uRban roAd traffiC noise simulation model using passive and publicly available data, Co-PI: SENZ-Lab: Stockholm EnviroNmental Zone digital Laboratory
+46 73 461 24 97rumpler@kth.se

Gyözö Gidofalvi
Associate Professor at KTH, PI: ChEss Machines For ElectriFiEd Construction SiTes (EFFECT), Co-PI: GEO-based Multi-layer Environmental Modelling of Urban TraffIC (GEOMETRIC), Co-PI: Learning in Routing Games for Sustainable Electromobility, Co-PI: SENZ-Lab: Stockholm EnviroNmental Zone digital Laboratory, Digital Futures Faculty
+46 8 790 70 21gyozo@kth.se