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Canonical Instabilities of Autonomous Vehicle Systems: The Unsettling Reality Behind the Dreams of Greed
Kategorie Beschreibung
036aXA-DE
037beng
087q978-3-319-69934-9
100 Wallace, Rodrick
331 Canonical Instabilities of Autonomous Vehicle Systems
335 The Unsettling Reality Behind the Dreams of Greed
410 Cham
412 Springer
425 2018
425a2018
433 Online-Ressource (IX, 45 p. 14 illus., 2 illus. in color, online resource)
451bSpringerBriefs in Applied Sciences and Technology
527 Druckausg.ISBN: 978-3-319-69934-9
527 Printed editionISBN: 978-3-319-69934-9
540aISBN 978-3-319-69935-6
700 |COM004000
700 |UYQ
700 |TEC009000
700 |*90-02
700 |90B20
700 |93C85
700 |70B15
700 |70Q05
700b|006.3
700c|Q342
750 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
753 Central Problems -- Dynamics of Service Collapse -- The Macroscopic Fundamental Diagram -- Conclusions
012 49598356X
081 Wallace, Rodrick: Canonical Instabilities of Autonomous Vehicle Systems
100 Springer E-Book
125aElektronischer Volltext - Campuslizenz
655e$uhttp://dx.doi.org/10.1007/978-3-319-69935-6
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