Freeway traffic control: A survey
Freeway traffic control is a broad research area, not only interesting for its applicative
perspective, but also highly motivating for theoretical investigations. This research topic has …
perspective, but also highly motivating for theoretical investigations. This research topic has …
Hierarchical speed planner for automated vehicles: A framework for Lagrangian variable speed limit in mixed-autonomy traffic
This article presents a novel hierarchical speed planning framework for variable speed limits
in mixed-autonomy traffic environments, leveraging server-side macroscopic control and …
in mixed-autonomy traffic environments, leveraging server-side macroscopic control and …
[書籍][B] Control problems for conservation laws with traffic applications: modeling, analysis, and numerical methods
Conservation and balance laws on networks have been the subject of much research
interest given their wide range of applications to real-world processes, particularly traffic …
interest given their wide range of applications to real-world processes, particularly traffic …
Delay-compensated distributed PDE control of traffic with connected/automated vehicles
We develop an input delay-compensating design for stabilization of an Aw–Rascle–Zhang
(ARZ) traffic model in congested regime, which is governed by a first-order hyperbolic …
(ARZ) traffic model in congested regime, which is governed by a first-order hyperbolic …
Mitigating stop-and-go traffic congestion with operator learning
This paper presents a novel neural operator learning framework for designing boundary
control to mitigate stop-and-go congestion on freeways. The freeway traffic dynamics are …
control to mitigate stop-and-go congestion on freeways. The freeway traffic dynamics are …
PDE-based feedback control of freeway traffic flow via time-gap manipulation of ACC-equipped vehicles
We develop a control design for stabilization of traffic flow in the congested regime, based
on an Aw-Rascle-Zhang-type (ARZ-type) partial differential equation (PDE) model, for traffic …
on an Aw-Rascle-Zhang-type (ARZ-type) partial differential equation (PDE) model, for traffic …
A game-theoretic framework for generic second-order traffic flow models using mean field games and adversarial inverse reinforcement learning
A traffic system can be interpreted as a multiagent system, wherein vehicles choose the most
efficient driving approaches guided by interconnected goals or strategies. This paper aims to …
efficient driving approaches guided by interconnected goals or strategies. This paper aims to …
[HTML][HTML] Optimal control problems in transport dynamics with additive noise
Motivated by the applications in leader-follower multi-agent dynamics, a class of optimal
control problems is investigated, where the goal is to influence the behavior of a given …
control problems is investigated, where the goal is to influence the behavior of a given …
Learning-based state reconstruction for a scalar hyperbolic PDE under noisy Lagrangian sensing
The state reconstruction problem of a heterogeneous dynamic system under sporadic
measurements is considered. This system consists of a conversation flow together with a …
measurements is considered. This system consists of a conversation flow together with a …