2 citations · 2 across the 6 of their papers we have counts for
6 papers
Public Transport Under Epidemic Conditions: Nonlinear Trade-Offs Between Risk and Accessibility
Gerhard Hiermann, Joana Ji, Ana Moreno +2
Epidemics expose critical tensions between protecting public health and maintaining essential urban mobility. Public transport systems face this dilemma most acutely: they enable a…
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…
Solving Large-Scale Two-Echelon Location Routing Problems in City Logistics
Banu Ulusoy Dereli, Gerhard Hiermann, Maximilian Schiffer
Logistic service providers increasingly focus on two-echelon distribution systems to efficiently manage thousands of deliveries in urban environments. Effectively operating such sy…
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…
A decomposition-based approach for large-scale pickup and delivery problems
G. Hiermann, M. Schiffer
With the advent of self-driving cars, experts envision autonomous mobility-on-demand services in the near future to cope with overloaded transportation systems in cities worldwide.…
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…