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Vehicle Swarm Platooning as Differential Game

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10249299" target="_blank" >RIV/61989100:27240/21:10249299 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9659431" target="_blank" >https://ieeexplore.ieee.org/document/9659431</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICAR53236.2021.9659431" target="_blank" >10.1109/ICAR53236.2021.9659431</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Vehicle Swarm Platooning as Differential Game

  • Original language description

    Platooning is the desired group driving behavior of connected and autonomous vehicles on roads. As a platoon, autonomous vehicles by synchronizing their speed, maintain shorter headway and inter-vehicle distance. Platooning is more challenging when the size of the platoon becomes large as a swarm of vehicles platooning behavior simultaneously shall be synchronized. This paper proposes a differential game approach to vehicle swarm platooning. The connected vehicles can communicate but cannot enter into binding agreements. Each vehicle of the swarm is assigned with a convex cost function of its distance to the predecessor along with its control efforts to be minimized. It is shown that the vehicle swarm platooning as a noncooperative differential game admits a unique Nash equilibrium. A swarm&apos;s platooning behavior with the size of 20 vehicles has been investigated via simulations to justify the models and solutions. (C) 2021 IEEE.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2021 20th International Conference on Advanced Robotics, ICAR 2021

  • ISBN

    978-1-66543-684-7

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    885-890

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Lublaň

  • Event date

    Dec 6, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article