Development of an efficient driving strategy for connected and automated vehicles at signalized intersections: A reinforcement learning approach

M Zhou, Y Yu, X Qu - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
The concept of Connected and Automated Vehicles (CAVs) enables instant traffic
information to be shared among vehicle networks. With this newly proposed concept, a …

Data-driven analysis and forecasting of highway traffic dynamics

AM Avila, I Mezić - Nature communications, 2020 - nature.com
The unpredictable elements involved in a vehicular traffic system, like human interaction and
weather, lead to a very complicated, high-dimensional, nonlinear dynamical system …

Traffic congestion control for Aw–Rascle–Zhang model

H Yu, M Krstic - Automatica, 2019 - Elsevier
This paper develops boundary feedback control laws to reduce stop-and-go oscillations in
congested traffic. The macroscopic traffic dynamics are governed by Aw–Rascle–Zhang …

PI boundary control of linear hyperbolic balance laws with stabilization of ARZ traffic flow models

L Zhang, C Prieur, J Qiao - Systems & Control Letters, 2019 - Elsevier
This paper investigates the proportional–integral (PI) boundary feedback control for the
linear hyperbolic systems of balance laws which control and output measures are located at …

Analysis and control of a non-local PDE traffic flow model

I Karafyllis, D Theodosis… - International Journal of …, 2022 - Taylor & Francis
This paper provides conditions that guarantee existence and uniqueness of classical
solutions for a non-local conservation law on a ring road with possible nudging (or 'look …

An extended car-following model accounting for the average headway effect in intelligent transportation system

H Kuang, ZP Xu, XL Li, SM Lo - Physica A: Statistical Mechanics and its …, 2017 - Elsevier
In this paper, an extended car-following model is proposed to simulate traffic flow by
considering average headway of preceding vehicles group in intelligent transportation …

Bilateral boundary control of moving shockwave in LWR model of congested traffic

H Yu, M Diagne, L Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We develop backstep** state feedback control to stabilize a moving shockwave in a
freeway segment under bilateral boundary actuations of traffic flow. A moving shockwave …

Neural operators for boundary stabilization of stop-and-go traffic

Y Zhang, R Zhong, H Yu - 6th Annual Learning for Dynamics …, 2024 - proceedings.mlr.press
This paper introduces a novel approach to PDE boundary control design using neural
operators to alleviate stop-and-go traffic instabilities. Our framework leverages neural …

PDE traffic observer validated on freeway data

H Yu, Q Gan, A Bayen, M Krstic - IEEE Transactions on Control …, 2020 - ieeexplore.ieee.org
This article develops a boundary observer for the estimation of congested freeway traffic
states based on the Aw-Rascle-Zhang (ARZ) partial differential equations (PDEs) model …

Designing, simulating, and performing the 100-av field test for the circles consortium: Methodology and implementation of the largest mobile traffic control experiment …

M Ameli, S McQuade, JW Lee, M Bunting… - arxiv preprint arxiv …, 2024 - arxiv.org
Previous controlled experiments on single-lane ring roads have shown that a single partially
autonomous vehicle (AV) can effectively mitigate traffic waves. This naturally prompts the …