Model to determine the CO₂, NO2 and PM emissions caused by vehicles in the city.

Combining the data on the volume of vehicles in the city, the types of vehicles, their motorisation, their emission standard and their dynamic driving behaviour (speed and acceleration), a model is created that indicates the real-time emissions of CO₂, NO2 and particles produced by traffic in a spatial range of 20 metres. This makes it possible to microscopically identify the city’s critical points for emissions associated with traffic, or determine how much traffic contributes to total pollution and implement measures to reduce these emissions.

The data can also be integrated into city platforms or tourism CRM.

Applications or use cases:

• Knowledge and control of vehicle emissions:

‒ Detection of street segments (maximum 20 metres) with the highest CO₂, NO2 and PM emissions.

‒ Identification of the percentage of city’s air quality accounted for by traffic.

‒ Quantification and identification of the causes for which traffic emits more pollutants.

• Assessment of traffic light coordination for continuous flow of vehicles.
• Calculation of probability that vehicles will stop, and its duration in the different segments.
• How tourist periods influence city traffic emissions.