Canonical Instabilities of Autonomous Vehicle Systems

The Unsettling Reality Behind the Dreams of Greed

  • Rodrick Wallace

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Rodrick Wallace
    Pages 1-6
  3. Rodrick Wallace
    Pages 7-15
  4. Rodrick Wallace
    Pages 17-30
  5. Rodrick Wallace
    Pages 31-34
  6. Rodrick Wallace
    Pages 35-42
  7. Rodrick Wallace
    Pages 43-45

About this book


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.


Computational Intelligence Autonomous Vehicle Systems Intelligent Systems Vehicle/road system Multimodal traffic

Authors and affiliations

  • Rodrick Wallace
    • 1
  1. 1.New York State Psychiatric InstituteColumbia UniversityNew YorkUSA

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-69934-9
  • Online ISBN 978-3-319-69935-6
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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