34 citations · 70 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
Galerkin--Chebyshev approximation of Gaussian random fields on compact Riemannian manifolds
Annika Lang, Mike Pereira
A new numerical approximation method for a class of Gaussian random fields on compact connected oriented Riemannian manifolds is introduced. This class of random fields is characte…
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…