Abstract: Highlights•Proposed a near real-time rerouting system with the aim of reducing the total travel time of a traffic network.•Introduced an innovative Key Performance Index system that accurately assesses the congestion level for the rerouting system.•Minimizing the cost of rerouting via a vehicle filtration process to minimize the number of rerouted vehicles.•Applied Support Vector Machine to perform near-future traffic flow prediction to achieve proactive rerouting.•Investigated the effects of rerouting intervals, traffic levels and Key Performance Index weightages on the proposed system.
External IDs:dblp:journals/eaai/TayLLCT25
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