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Differential Game-Based Optimal Control of Autonomous Vehicle Convoy

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10250809" target="_blank" >RIV/61989100:27240/22:10250809 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9961090" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9961090</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TITS.2022.3223303" target="_blank" >10.1109/TITS.2022.3223303</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Differential Game-Based Optimal Control of Autonomous Vehicle Convoy

  • Original language description

    Group control of connected and autonomous vehicles on automated highways is challenging for the advanced driver assistance systems (ADAS) and the automated driving systems (ADS). This paper investigates the differential game-based approach to autonomous convoy control with the aim of deployment on automated highways. Under the noncooperative differential games, the coupled vehicles make their decisions independently while their states are interdependent. The receding horizon Nash equilibrium of the linear-quadratic differential game provides the convoy a distributed state-feedback control strategy. This approach suffers a fundamental issue that neither a Nash equilibrium&apos;s existence nor the uniqueness is guaranteed. We convert the individual dynamics-based differential game to a relative dynamics-based optimal control problem that carries all the features of the differential game. The existence of a unique Nash control under the differential game corresponds to a unique solution to the optimal control problem. The latter is shown, as well as the asymptotic stability of the closed-loop system. Simulations illustrate the effectiveness of the presented convey control scheme and how it well suits automated highway driving scenarios.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE Transactions on Intelligent Transportation Systems

  • ISSN

    1524-9050

  • e-ISSN

    1558-0016

  • Volume of the periodical

    2022

  • Issue of the periodical within the volume

    2022

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    17

  • Pages from-to

    nestrankovano

  • UT code for WoS article

    000890869300001

  • EID of the result in the Scopus database