Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 605, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.physa.2022.127975
Keywords
Deterministic acceleration model; Continuum traffic flow; Autonomous vehicles; Inactive V2I communication; Traffic flow stability
Categories
Funding
- National Natural Science Foundation of China [51050110143, 51250110075]
- American Association of Highway and Transportation Officials [15-0084]
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In this paper, a deterministic acceleration model is developed based on the sensor detection range to capture the car following dynamic of autonomous vehicles. A delayed-feedback control is proposed to suppress traffic congestion and increase traffic flow stability without the need for Vehicle-to-Infrastructure (V2I) communication.
In this paper, a deterministic acceleration model is developed considering the sensor detection range to capture the underlying process of car following dynamic of au-tonomous vehicles. A delayed-feedback control is proposed using the difference between current state of throttle angle and previous one as feedback term and incorporated into the developed deterministic acceleration model to suppress the traffic congestion and increase the stability of traffic flow without the aid of Vehicle-to-Everything (V2I) communication. The feasible ranges of control parameters that ensure smooth traffic flow is derived from the perspective of the frequency domain via Hurvitz criteria and H & INFIN; norm of transfer functions. The impact of proposed control strategy on the stability of macroscopic traffic flow is studied. The numerical-based simulations reveal that using the delayed-feedback of throttle angle with proper designed gains and delay time improves traffic efficiency, maintains scalable for large systems of autonomous vehicles, suppress the traffic congestion effectively, and dissipate shockwaves.(c) 2022 Elsevier B.V. All rights reserved.
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