<ul><li>A new paper proposes a route recommendation framework to mitigate congestion in traffic management systems.</li><li>The framework takes into account partial driver compliance, which is often observed in reality.</li><li>The approach involves computing an optimal flow, training a compliance model, and formulating a stochastic optimization problem.</li><li>Simulations on a grid network show that the proposed approach reduces travel time compared to baseline strategies.</li></ul>

Route Recommendations for Traffic Management Under Learned Partial Driver Compliance

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