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.
Compare two directional closure scenarios for Tunnel Louise: one toward Bois de la Cambre and one toward the city centre. The simulation helps show how traffic is redistributed around the inner ring, Avenue Louise, and nearby access roads over a full day.
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.
Test the impact of closing part of Rue du Bailli to car traffic and compare it with the current street configuration. The study helps identify whether traffic pressure moves to surrounding residential streets and how nearby tram, bus, and local access routes may be affected.
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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