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.
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.
Compare traffic conditions around Pont Sainctelette when one direction of the bridge is closed, using the normal situation as a baseline. The result highlights where queues and detours are likely to appear around the canal crossings and nearby routes toward Koekelberg.
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.
Simulate a large event closure around Mont des Arts and compare the result with a normal traffic day. The scenario helps anticipate delays around the central cultural district, nearby tunnels, and access routes before event circulation plans are put in place.
The TrafficTwin was developed by the Machine Learning Group of the Université Libre de Bruxelles in collaboration with FARI and the Université Aix-Marseille.
It is currently funded by the EDITS project ( FNRS, WEL-T ) and SPW Proof Of Concept Grant. It was previously funded by Innoviris .
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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