1 citations · 1 across the 3 of their papers we have counts for
3 papers
Learning to Dial-a-Ride: A Deep Graph Reinforcement Learning Approach to the Electric Dial-a-Ride Problem
Sten Elling Tingstad Jacobsen, Attila Lischka, Balázs Kulcsár +1
Urban mobility systems are transitioning toward electric, on-demand services, creating operational challenges for fleet management under energy and service-quality constraints. The…
Combined Stochastic and Robust Optimization for Electric Autonomous Mobility-on-Demand with Nested Benders Decomposition
Sten Elling Tingstad Jacobsen, Balázs Kulcsár, Anders Lindman
The electrification and automation of mobility are reshaping how cities operate on-demand transport systems. Managing Electric Autonomous Mobility-on-Demand (EAMoD) fleets effectiv…
A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services
Sten Elling Tingstad Jacobsen, Anders Lindman, Balázs Kulcsár
This paper considers the problem of supply-demand imbalances in Mobility-on-Demand (MoD) services, such as Uber or DiDi Rider. Such imbalances are due to uneven stochastic travel d…