top of page

Traffic models & simulation

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

Build a replica model of your road network and travel demand in just a few clicks: defining scenarios, launching calculations, archiving results and replaying simulations at any time.

  • Static & dynamic modeling.

  • Microscopic & macroscopic simulation.

  • Cartographic exploration.

  • Multi-indicator and comparative vision.

Essential insights to prepare future investments, integrate new usages in mobility and choose the best operating strategies.


For an optimal allocation of budgetary, economic and environmental resources!

Traffic model
Traffic model
Traffic model

Start with Neovya
We would like to know more about your objectives.

How can we help you?

Using a controlled virtual environment

A digital twin is an object's or a physical process's digital representation in a virtual environment. It can be static or dynamic according to the question it answers. In the field of mobility, using a digital twin is about modeling a mobility system combining the offer (the network, the infrastructure) and the demand (the needs for moving). It reproduces the mobility system from a referent time-period on a given geographical scale (neighborhood, city, urban areas, territories, etc.) exhaustively and integrally based on partial historical data collected from the field. This controlled virtual environment enables the simulation of new situations by projecting one or many physical elements in diverse virtual scenarios. It is then called a simulation digital twin. 

Various applications

  • Evaluate new projets feasibility and their impacts for transportation infrastructures and networks (road mobility, public transportation, shared mobility, soft modes, etc.).

  • Simulate the impact of roads and highways operating strategies on traffic flows and the environment (dynamic traffic management, access control, roadwork operations, etc.).

  • Plan tomorrow's mobility system at the scale of a city, an urban area or a territory regardless of the transportation mode (private car, public transportation, bicycle, etc.).

  • Rethink the urban road mobility scheme (traffic plan, traffic lights control optimization, etc.).

A reliable, robust and cost-effective solution

  • Help the decision making at both  strategical level (planning, programming) and operational level (traffic operations).

  • Build a multi-scale vision of impacts (microscopic or macroscopic) and also multi-criteria (service level, delays due to traffic jam, environmental pollution, etc).

  • Forecast and evaluate scenarios never observed before.

  • Test scenarios requiring expensive financial investments or a too complex  deployment to be tested in the real world.

  • Evaluate the operational efficiency of a specific or planned measure and optimize it if necessary.

bottom of page