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eess.SY2023
A Time-invariant Network Flow Model for Ride-pooling in Mobility-on-Demand Systems
Fabio Paparella, Leonardo Pedroso, Theo Hofman +1
This paper presents a framework to incorporate ride-pooling from a mesoscopic point of view, within time-invariant network flow models of Mobility-on-Demand systems. The resulting…
eess.SY2023
Congestion-aware Ride-pooling in Mixed Traffic for Autonomous Mobility-on-Demand Systems
Fabio Paparella, Leonardo Pedroso, Theo Hofman +1
This paper presents a modeling and optimization framework to study congestion-aware ride-pooling Autonomous Mobility-on-Demand (AMoD) systems, whereby self-driving robotaxis are pr…