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Accurate CO2 and Traffic Monitoring in Podgorica

Air quality sensors and traffic monitor data dashboard, including actionable recommendation to mitigate risks.

Project summary

Poor air quality in Podgorica is a potential threat to public health. To mitigate the threat, the correlation between air quality and vehicle traffic should be investigated. To do this, a large body of high-resolution, real-time air quality and traffic data must be analysed. We achieve this by deploying a state-of-the-art, near real-time sensor network for traffic and CO2 across Podgorica. The initiative will integrate data from monitoring stations that we deploy, meteorological stations and satellite observations, leveraging AI-powered data fusion and predictive models. By integrating these datasets, we will deliver a user-friendly dashboard for local authorities that provides access to real time and historical data, pollution trend forecasts and actionable recommendations, such as adjustable speed limits and traffic restrictions.

In addition, long-term strategies and policy changes for air pollution mitigation and sustainable transportation planning will be provided, including the establishment of low-emission zones, restrictions on open fires, optimisation of heating solutions, support for low-carbon logistics and the planting of trees across the city. The project, co-funded by RAPTOR, involves collaboration between TEA Group srl, an Italian company with a strong track record for developing and deploying advanced environmental monitoring solutions, and the municipality of Podgorica. The pilot will run in October and November 2025, and will lay the groundwork for further developments, subject to the municipality’s interest.

Project start:

1 June 2025

Project end:

30 November 2025

Budget:

€59,500

Countries

montenegro

Context

PM₁₀ levels in Podgorica from 6 March to 31 May 2018 exceeded 25 μg/m³ on 79 days. We need to determine the reason for such high values.

Challenge

We want to create a large, accurate dataset for air quality and vehicle traffic patterns, then investigate correlations and identify an air pollution mitigation strategy.

Expected outcome

The expected result is confirmation of the correlation between air quality and traffic. This will lead to traffic management policies to improve air quality.

Project partners

Italy

TEA Group

Project Lead

Claudio Parrinello

[email protected]