A dynamic saturation rate extension to the multi-commodity store-and-forward model is reformulated as an efficient MILP that outperforms prior multi-commodity approaches in mixed CAV-HDV traffic simulations.
Piecewise MILP under-and overestimators for global optimization of bilinear programs
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Efficient MILP-based Urban Network Traffic Control in Mixed Autonomy with Dynamic Saturation Rates
A dynamic saturation rate extension to the multi-commodity store-and-forward model is reformulated as an efficient MILP that outperforms prior multi-commodity approaches in mixed CAV-HDV traffic simulations.