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Traffic Congestion Control by PDE Backstepping by Huan Yu, Miroslav Krstić is a nonfiction available to read on EtoBox.

What is Traffic Congestion Control by PDE Backstepping about?

"This monograph explores the design of controllers that suppress oscillations and instabilities in congested traffic flow using PDE backstepping methods. The first part of the text is concerned with basic backstepping control of freeway traffic using the Aw-Rascle-Zhang (ARZ) second-order PDE model. It begins by illustrating a basic control problem suppressing traffic with stop-and-go oscillations downstream of ramp metering before turning to the more challenging case for traffic upstream of ramp metering. The authors demonstrate how to design state observers for the purpose of stabilization using output-feedback control. Experimental traffic data are then used to calibrate the ARZ model and validate the boundary observer design. Because large uncertainties may arise in traffic models, adaptive control and reinforcement learning methods are also explored in detail. Part II then extends the conventional ARZ model utilized until this point in order to address more complex traffic conditions: multi-lane traffic, multi-class traffic, networks of freeway segments, and driver use of routing apps. The final chapters demonstrate the use of the Lighthill-Whitham-Richards (LWR) first-order P

Who reads Traffic Congestion Control by PDE Backstepping?

Author

Huan Yu, Miroslav Krstić

Publisher

Birkhäuser

Published

2022

Language

EN

ISBN

9783031193460

Category

nonfiction

Subjects

Mathematics, Engineering, Science