Using artificial intelligence to learn how mobility strategies impact on air quality

Project Description

  • Innovation
  • 1 January 2023
  • 31 December 2023
  • HOPU
  • 400,998€

While urbanisation and populations in urban areas increase, decarbonising cities becomes a harder challenge. In this context, as an unprecedented amount of urban traffic pollutants are generated in cities, IMAGINEXT validates a Software as a Service (SaaS) solution that utilises artificial intelligence (AI) to learn how specific mobility strategies and sustainable transport measures impact on air quality.

IMAGINEXT SaaS is being validated in two cities so that the AI can start receiving information and learning based on the size and density of each city. IMAGINEXT aims to accelerate market opportunities for mobility decision-makers with the potential of implementing sustainable transport solutions that are known to be effective in improving city air quality, based on evidenced cases incorporated in the SaaS and extrapolated to bespoke uses through the use of AI.


To help the effective implementation of Low Emission Zones (LEZs) and decarbonisation strategies in cities.

Main Objective

To provide a tool which can help mobility decision-makers implement necessary strategies to meet European environment targets with evidence-based data.


A SaaS solution that monitors mobility pollutant indicators and traffic conditions in real-time against specific measures and strategies and predicts their impact using AI models.



Project lead

Antonio Jesús Jara Valera
Nuria Bernabé Mulero