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Canonical instabilities of autonomou...

Wallace, Rodrick.

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Canonical instabilities of autonomous vehicle systems = the unsettling reality behind the dreams of greed /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Canonical instabilities of autonomous vehicle systems/ by Rodrick Wallace.
Reminder of title:	the unsettling reality behind the dreams of greed /
Author:	Wallace, Rodrick.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	ix, 45 p. :ill., digital ;24 cm.
[NT 15003449]:	Central Problems -- Dynamics of Service Collapse -- The Macroscopic Fundamental Diagram -- Conclusions.
Contained By:	Springer eBooks
Subject:	Autonomous vehicles. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-69935-6
ISBN:	9783319699356

Canonical instabilities of autonomous vehicle systems = the unsettling reality behind the dreams of greed /
Wallace, Rodrick.

Canonical instabilities of autonomous vehicle systemsthe unsettling reality behind the dreams of greed /[electronic resource] :by Rodrick Wallace. - Cham :Springer International Publishing :2018. - ix, 45 p. :ill., digital ;24 cm. - Springerbriefs in applied sciences and technology,2191-530X. - Springerbriefs in applied sciences and technology..

Central Problems -- Dynamics of Service Collapse -- The Macroscopic Fundamental Diagram -- Conclusions.

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.

ISBN: 9783319699356

Standard No.: 10.1007/978-3-319-69935-6doiSubjects--Topical Terms:

2179092
Autonomous vehicles.

LC Class. No.: TL152.8

Dewey Class. No.: 629.22

Canonical instabilities of autonomous vehicle systems = the unsettling reality behind the dreams of greed /
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245 1 0 $a Canonical instabilities of autonomous vehicle systems $h [electronic resource] : $b the unsettling reality behind the dreams of greed / $c by Rodrick Wallace.
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490 1 $a Springerbriefs in applied sciences and technology, $x 2191-530X
505 0 $a Central Problems -- Dynamics of Service Collapse -- The Macroscopic Fundamental Diagram -- Conclusions.
520 $a 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.
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