Multinode Bilateral Control Model

Bilateral control can suppress traffic flow instabilities. The simplest form of bilateral control uses information about the relative positions and relative velocities of leading and trailing vehicles. In this paper, we provide a multinode version of bilateral control, in which information about the...

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Main Authors: Wang, Liang, Horn, Berthold K. P.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Online Access:https://hdl.handle.net/1721.1/129420
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author Wang, Liang
Horn, Berthold K. P.
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Wang, Liang
Horn, Berthold K. P.
author_sort Wang, Liang
collection MIT
description Bilateral control can suppress traffic flow instabilities. The simplest form of bilateral control uses information about the relative positions and relative velocities of leading and trailing vehicles. In this paper, we provide a multinode version of bilateral control, in which information about the state of more than just the immediately leading and trailing cars is used. In this mode of control, the question arises: "How much weight should information about vehicles at different positions be given?" Two different methods-a Taylor series approach and a least-squares approach-are explored.We showthat the least-squares approach generates sets of coefficients that can damp out lowfrequency components of perturbations faster. This means that traffic under multinode bilateral control will approach an equilibrium state more rapidly than under the traditional version of bilateral control. Simulation results confirm our analysis.
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spelling mit-1721.1/1294202022-10-01T02:56:26Z Multinode Bilateral Control Model Wang, Liang Horn, Berthold K. P. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Bilateral control can suppress traffic flow instabilities. The simplest form of bilateral control uses information about the relative positions and relative velocities of leading and trailing vehicles. In this paper, we provide a multinode version of bilateral control, in which information about the state of more than just the immediately leading and trailing cars is used. In this mode of control, the question arises: "How much weight should information about vehicles at different positions be given?" Two different methods-a Taylor series approach and a least-squares approach-are explored.We showthat the least-squares approach generates sets of coefficients that can damp out lowfrequency components of perturbations faster. This means that traffic under multinode bilateral control will approach an equilibrium state more rapidly than under the traditional version of bilateral control. Simulation results confirm our analysis. Toyota Research Institute (Grant LP-C000765-SR) 2021-01-14T18:15:44Z 2021-01-14T18:15:44Z 2019-10 2020-12-18T15:33:59Z Article http://purl.org/eprint/type/JournalArticle 0018-9286 1558-2523 https://hdl.handle.net/1721.1/129420 Wanga, Liang and Berthold K.P. Horn. “Multinode Bilateral Control Model.” IEEE Transactions on Automatic Control, 64, 10 (October 2019): 4066 - 4078 © 2019 The Author(s) en 10.1109/TAC.2019.2891490 IEEE Transactions on Automatic Control Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain
spellingShingle Wang, Liang
Horn, Berthold K. P.
Multinode Bilateral Control Model
title Multinode Bilateral Control Model
title_full Multinode Bilateral Control Model
title_fullStr Multinode Bilateral Control Model
title_full_unstemmed Multinode Bilateral Control Model
title_short Multinode Bilateral Control Model
title_sort multinode bilateral control model
url https://hdl.handle.net/1721.1/129420
work_keys_str_mv AT wangliang multinodebilateralcontrolmodel
AT hornbertholdkp multinodebilateralcontrolmodel