34 citations · 70 across the 7 of their papers we have counts for
7 papers
Conflict-free Charging and Real-time Control for an Electric Bus Network
Rémi Lacombe, Nikolce Murgovski, Sébastien Gros +1
The rapid adoption of electric buses by transit agencies around the world is leading to new challenges in the planning and operation of bus networks. In particular, the limited dri…
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…
Deep Q-learning: a robust control approach
Balazs Varga, Balazs Kulcsar, Morteza Haghir Chehreghani
In this paper, we place deep Q-learning into a control-oriented perspective and study its learning dynamics with well-established techniques from robust control. We formulate an un…
Short-term traffic prediction using physics-aware neural networks
Mike Pereira, Annika Lang, Balázs Kulcsár
In this work, we propose an algorithm performing short-term predictions of the flux of vehicles on a stretch of road, using past measurements of the flux. This algorithm is based o…
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach
Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani
This paper presents a constrained policy gradient algorithm. We introduce constraints for safe learning with the following steps. First, learning is slowed down (lazy learning) so…
Parameter and density estimation from real-world traffic data: A kinetic compartmental approach
Mike Pereira, Pinar Boyraz Baykas, Balázs Kulcsár +1
The main motivation of this work is to assess the validity of a LWR traffic flow model to model measurements obtained from trajectory data, and propose extensions of this model to…
The Traffic Reaction Model: A kinetic compartmental approach to road traffic modeling
M. Pereira, B. Kulcsár, Gy. Lipták +2
In this work, a family of finite volume discretization schemes for LWR-type first order traffic flow models (with possible on- and off-ramps) is proposed: the Traffic Reaction Mode…