The growing number of connectivity services in transportation along with a deluge of data collection, make new control approaches possible to reduce traffic congestion inside urban areas leveraged by V2I (vehicle to infrastructure) communication. Our approach aims at reducing congestion via a dynamic traffic assignment by inducing rerouting on a fraction of the population. The infrastructure broadcasts aggregated speeds for predefined zones, then a cooperative strategy allows the qualification of the zone, this information is then asynchronously used by each one of the vehicle agents to determine new routes and achieve their destination. For the sake of scalability, our solution is distributed, using multi-agent interaction and computation. We verify the effectiveness of the proposed approach within a traffic micro simulation tool, on a grid network.