Joint routing and pricing control in congested mixed autonomy networks

• A joint routing and pricing control scheme to incentivize CAVs seek centrally controlled SO is proposed. SO-seeking save on tolls while UE-seeking HVs are subject a congestion charge. The spatially differentiated, distance based. performance of the demonstrated in large-scale network Melbourne, Australia. Routing controllability connected autonomous vehicles (CAVs) has been shown reduce adverse effects selfish efficiency. However, assumption that CAV owners would readily allow themselves be externally by central agency for good system unrealistic. In this paper, we propose aims system-optimal (SO) saving user equilibrium (UE) seeking human-driven (HVs) problem formulated as bi-level optimization program where upper level optimizes dynamic toll rates using fundamental diagram (NFD) lower mixed simulation-based traffic assignment model (SBDTA) considering different combinations CAVs. We apply feedback-based controller solve optimal differentiated distance-based charge from which exempt; but entering city center. To capture distinct microscopic behavior autonomy traffic, also implement an adaptive link (FD) within SBDTA model. proposed encourages resulting less total travel time. It discourages congesting demonstrate both small