22 citations · 28 across the 5 of their papers we have counts for
5 papers
Personalized Dynamic Pricing Policy for Electric Vehicles: Reinforcement learning approach
Sangjun Bae, Balazs Kulcsar, Sebastien Gros
With the increasing number of fast-electric vehicle charging stations (fast-EVCSs) and the popularization of information technology, electricity price competition between fast-EVCS…
Collaborative electric vehicle routing with meet points
Fangting Zhou, Ala Arvidsson, Jiaming Wu +1
In this paper, we develop a profit-sharing-based optimal routing mechanism to incentivize horizontal collaboration among urban goods distributors. This paper investigates a collabo…
Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle
Jordanka Kovaceva, Nikolce Murgovski, Balázs Kulcsár +2
This paper provides a general framework for efficiently obtaining the appropriate intervention time for collision avoidance systems to just avoid a rear-end crash. The proposed fra…
Controlled Descent Training
Viktor Andersson, Balázs Varga, Vincent Szolnoky +3
In this work, a novel and model-based artificial neural network (ANN) training method is developed supported by optimal control theory. The method augments training labels in order…
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
Vincent Szolnoky, Viktor Andersson, Balazs Kulcsar +1
Most complex machine learning and modelling techniques are prone to over-fitting and may subsequently generalise poorly to future data. Artificial neural networks are no different…