3 papers
math.OC2025
Integrated Balanced and Staggered Routing in Autonomous Mobility-on-Demand Systems
Antonio Coppola, Gerhard Hiermann, Dario Paccagnan +2
Autonomous mobility-on-demand (AMoD) systems, centrally coordinated fleets of self-driving vehicles, offer a promising alternative to traditional ride-hailing by improving traffic…
cs.LG2024
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
Kai Jungel, Dario Paccagnan, Axel Parmentier +1
When optimizing transportation systems, anticipating traffic flows is a central element. Yet, computing such traffic equilibria remains computationally expensive. Against this back…
math.OC2024
Staggered Routing in Autonomous Mobility-on-Demand Systems
Antonio Coppola, Gerhard Hiermann, Dario Paccagnan +1
In autonomous mobility-on-demand systems, effectively managing vehicle flows to mitigate induced congestion and ensure efficient operations is imperative for system performance and…