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The best of mapping, routing and simulation technologies combined with data sciences and AI
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The unified data intelligence & simulation platform for mobility engineering

A data-driven platform to decarbonize the employees' mobility

Get the most out of
your mobility, traffic
and trips data

Create a digital twin for
simulation to support
your planning, programming
& network operation tasks


Predict future traffic
conditions, travel times or
size the most suitable offer
Evaluate impacts of new
projects, optimize low
carbon strategies
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latest white paper
Carbon footprint & pollutants
Evaluate impacts of new projects, optimize low carbon strategies
Evaluate, analyze and optimize CO2 and pollutants emissions of road mobility to decrease carbon footprint and environmental impacts.
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Assessment of current situation.
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What-if scenarios comparison.
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Various dimensions: CO2, NOx, fine particules, noise.
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Dashboards and map based views.
Key insights to inform decisions with relevant and realistic indicators to deploy environmental friendly solutions in traffic management or mobility policies planning.
For an even more sustainable mobility!



Solutions integrating advanced models
The road mobility is at the core of many environmental challenges: its greenhouse gas emissions contribute to climate change and impact negatively the air quality in urban areas. The road traffic contributes to over 30% of the global pollution. Evaluating carbon and pollutant emissions is now a major challenge for road infrastructures and road operations projects, as well as for mobility strategies and policies. Integrating traffic modeling and simulating tools with CO2 and pollutants emission models is a key solution to bring a complete and objective vision of the environmental impacts.
To reduce environmental impacts of road mobility
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Enhancing the vision coming from a limited network of environmental and noise sensors deployed on the field.
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Integrating multiple variables of a complex problem (engines specifications from the current car fleet, emissions factors, traveled distances, flow speed, etc.) to objectify phenomenons.
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Comparing alternate scenarios by relying on robust and proven scientific methods to calculate CO2, pollutants and noise emissions.