TrafficTwin helps understand how a road closure, event, or public transport change can affect traffic. You can compare options, see the impact on a map, and discuss decisions with clearer evidence.
Four signal programs for the Avenue Albert Ier / Boulevard Cauchy crossing over the same simulated day: how much time does each vehicle lose at the junction, and on which approach?
Two estimated fleets and the same simulated traffic: how much do road emissions change when older vehicles are hypothetically replaced, excluding the E411, E42 and their ramps?
What happens when either directional edge of Tunnel Louise closes? This full-day simulation compares separate closures toward the city centre and Bois de la Cambre with normal traffic, including effects on car traffic and STIB buses.
What happens if cars are excluded between Avenue Louise and Rue de Livourne, or along Rue du Bailli to Parvis de la Trinité? This full-day simulation compares both options with normal traffic, including their effects on surrounding roads and STIB buses.
How do pedestrian streets and changes to circulation affect central Namur? This full-day simulation compares the pedestrianisation plan for 2028 road scenario with the reference network in 2023 (start of the plan), including surrounding traffic and 1,800 TEC bus movements.
TrafficTwin was developed by the Machine Learning Group at the Université Libre de Bruxelles, in collaboration with FARI and Aix-Marseille Université.
It is currently funded by the EDITS project (FNRS, WEL-T) and an SPW Proof Of Concept Grant. It was previously funded by Innoviris.
Siméon Michel · Davide Guastella · Eladio Montero Porras · Gian Marco Paldino · Natalia Garcia Colin · Alejandro Morales Hernández · Gianluca Bontempi
TrafficTwin is most useful when there is a real decision to prepare: a closure, a diversion plan, a major event, or a public transport change.
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