Feedback Control of Freeway Traffic Flow via Time-Gap Manipulation of ACC-Equipped Vehicles: A PDE-Based Approach
Autor: | Argiris I. Delis, Nikolaos Bekiaris-Liberis |
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Rok vydání: | 2019 |
Předmět: |
0209 industrial biotechnology
Traffic flow control Partial differential equation Computer science 020208 electrical & electronic engineering Control (management) Stability (learning theory) 02 engineering and technology Traffic flow Time gap Adaptive cruise control Nonlinear system 020901 industrial engineering & automation Control and Systems Engineering Control theory Distributed parameter systems 0202 electrical engineering electronic engineering information engineering Fuel efficiency |
Zdroj: | IFAC-Papers |
ISSN: | 2405-8963 |
DOI: | 10.1016/j.ifacol.2019.08.139 |
Popis: | Nikolaos Bekiaris-Liberis was supported by the funding from the European Commission’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 747898, project PADECOT. Summarization: We develop a control design for stabilization of traffic flow in congested regime, based on an Aw-Rascle-Zhang-type (ARZ-type) Partial Differential Equation (PDE) model, for traffic consisting of both ACC-equipped (Adaptive Cruise Control-equipped) and manual vehicles. The control input is the value of the time-gap setting of ACC-equipped and connected vehicles, which gives rise to a problem of control of a 22 nonlinear system of first-order hyperbolic PDEs with in-domain actuation. The feedback law is designed in order to stabilize the linearized system, around a uniform, congested equilibrium profile. Stability of the closed-loop system under the developed control law is shown constructing a Lyapunov functional. The performance improvement of the closed-loop system under the proposed strategy is illustrated in simulation, also employing four different metrics, which quantify the performance in terms of fuel consumption, total travel time, and comfort. Presented on |
Databáze: | OpenAIRE |
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