Congestion-aware Ride-pooling in Mixed Traffic for Autonomous Mobility-on-Demand Systems
The research developed a mathematical model to study congestion-aware ride-pooling in autonomous mobility systems where robotaxis share rides. The core finding is that ride-pooling reduces congestion and travel times, but only if at least 40% of users opt into pooling; otherwise, rebalancing empty vehicles can worsen traffic and increase travel time by up to 15%.