Synthesis of Output-Feedback Controllers for Mixed Traffic Systems in Presence of Disturbances and Uncertainties
Shima Sadat Mousavi, Somayeh Bahrami, Anastasios Kouvelas

TL;DR
This paper develops robust output-feedback controllers for mixed traffic systems with human-driven and automated vehicles to improve flow stability amid disturbances and uncertainties, validated through simulations.
Contribution
It introduces a novel H-infinity control framework for mixed traffic, ensuring stability and robustness against disturbances and parametric uncertainties.
Findings
Controllers effectively mitigate disturbance amplification
System stabilizability and detectability are theoretically proven
Numerical simulations demonstrate improved traffic flow stability
Abstract
In this paper, we study mixed traffic systems that move along a single-lane ring-road or open-road. The traffic flow forms a platoon, which includes a number of heterogeneous human-driven vehicles (HDVs) together with only one connected and automated vehicle (CAV) that receives information from several neighbors. The dynamics of HDVs are assumed to follow the optimal velocity model (OVM), and the acceleration of the single CAV is directly controlled by a dynamical output-feedback controller. The ultimate goal of this work is to present a robust control strategy that can smoothen the traffic flow in the presence of undesired disturbances (e.g. abrupt deceleration) and parametric uncertainties. A prerequisite for synthesizing a dynamical output controller is the stabilizability and detectability of the underlying system. Accordingly, a theoretical analysis is presented first to prove the…
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Taxonomy
TopicsTraffic control and management · Traffic Prediction and Management Techniques · Vehicular Ad Hoc Networks (VANETs)
