Overview
- Explores the dynamics of collapse likely to afflict systems of autonomous ground vehicles that communicate with each other and with an embedding intelligent roadway
- Presents Canonical Instabilities of Autonomous Vehicle Systems
- Recent research on understanding the dynamics of the full system of autonomous ground vehicles, not simply the behavior of an individual vehicle atom within it
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
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Table of contents (6 chapters)
Keywords
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.
Authors and Affiliations
Bibliographic Information
Book Title: Canonical Instabilities of Autonomous Vehicle Systems
Book Subtitle: The Unsettling Reality Behind the Dreams of Greed
Authors: Rodrick Wallace
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-319-69935-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-319-69934-9Published: 10 November 2017
eBook ISBN: 978-3-319-69935-6Published: 31 October 2017
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: IX, 45
Number of Illustrations: 12 b/w illustrations, 2 illustrations in colour