5 papers
GREAT-EER: Graph Edge Attention Network for Emergency Evacuation Responses
Attila Lischka, Balázs Kulcsár
Emergency situations that require the evacuation of urban areas can arise from man-made causes (e.g., terrorist attacks or industrial accidents) or natural disasters, the latter be…
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…
Collaborative Charging Scheduling via Balanced Bounding Box Methods
Fangting Zhou, Balazs Kulcsar, Jiaming Wu
Electric mobility faces several challenges, most notably the high cost of infrastructure development and the underutilization of charging stations. The concept of shared charging o…
Robust Position Controller for Steering Systems
Tushar Chugh, Fredrik Bruzelius, Balázs Kulcsár
This paper presents a robust position controller for electric power assisted steering and steer-by-wire force-feedback systems. A position controller is required in steering system…