Canonical Instabilities Of Autonomous Vehicle Systems: The Unsettling Reality Behind The Dreams Of Greed (springerbriefs In Applied Sciences And Technology)
by Rodrick Wallace /
2017 / English / PDF
2.7 MB Download
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.
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.