rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Canonical Instabilities of Autonomous Vehicle Systems
    sub title: The Unsettling Reality Behind the Dreams of Greed
  name:
    name part: Wallace, Rodrick.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: IX, 45 p. 14 illus., 2 illus. in color. online resource.
  abstract: The asymptotic limit theorems of control and information theories make it possible to explore the dynamics of collapse likely to afflict large-scale systems of autonomous ground vehicles that communicate with each other and with an embedding intelligent roadway. Any vehicle/road system is inherently unstable in the control theory sense as a consequence of the basic irregularities of the traffic stream, the road network, and their interactions, placing it in the realm of the Data Rate Theorem that mandates a minimum necessary rate of control information for stability. It appears that large-scale V2V/V2I systems will experience correspondingly large-scale failures analogous to the vast, propagating fronts of power network blackouts, and possibly less benign but more subtle patterns of individual vehicle, platoon, and mesoscale dysfunction. The central matter is the synergism between poorly-understood traffic flow dynamics and similarly cryptic multisource information network dynamics, leading to highly punctuated phase transition analogs.
  table of contents: Central Problems -- Dynamics of Service Collapse -- The Macroscopic Fundamental Diagram -- Conclusions.
  note: by Rodrick Wallace.
  subject:
    topic: Computational intelligence
  subject:
    topic: Automotive engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Automotive Engineering
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Computational Intelligence
  identifier: 9783319699356
  identifier: https://doi.org/10.1007/978-3-319-69935-6
  record info:
    record creation date: 171101
    record change date: 20191021162223.0
    record identifier: 978-3-319-69935-6