7 citations · 7 across the 1 of their papers we have counts for
3 papers
math.OC2021
Physics-informed Learning for Identification and State Reconstruction of Traffic Density
Matthieu Barreau, Miguel Aguiar, John Liu +1
We consider the problem of traffic density reconstruction using measurements from probe vehicles (PVs) with a low penetration rate. In other words, the number of sensors is small c…
math.OC2020★ 7 cited
Learning-based Traffic State Reconstruction using Probe Vehicles
John Liu, Matthieu Barreau, Mladen Cicic +1
This article investigates the use of a model-based neural-network for the traffic reconstruction problem using noisy measurements coming from probe vehicles. The traffic state is a…
math.OC2020
Learning-based State Reconstruction for a Scalar Hyperbolic PDE under noisy Lagrangian Sensing
M. Barreau, J. Liu, K. H. Johansson
The state reconstruction problem of a heterogeneous dynamic system under sporadic measurements is considered. This system consists of a conversation flow together with a multi-agen…