| 000 | 03027nam a22005055i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-69935-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220801221144.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 171101s2018 sz | s |||| 0|eng d | ||
| 020 |
_a9783319699356 _9978-3-319-69935-6 |
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| 024 | 7 |
_a10.1007/978-3-319-69935-6 _2doi |
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| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
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_aTEC009000 _2bisacsh |
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| 072 | 7 |
_aUYQ _2thema |
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| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aWallace, Rodrick. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _954405 |
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| 245 | 1 | 0 |
_aCanonical Instabilities of Autonomous Vehicle Systems _h[electronic resource] : _bThe Unsettling Reality Behind the Dreams of Greed / _cby Rodrick Wallace. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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| 300 |
_aIX, 45 p. 14 illus., 2 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringerBriefs in Computational Intelligence, _x2625-3712 |
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| 505 | 0 | _aCentral Problems -- Dynamics of Service Collapse -- The Macroscopic Fundamental Diagram -- Conclusions. | |
| 520 | _aThe 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. | ||
| 650 | 0 |
_aComputational intelligence. _97716 |
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| 650 | 0 |
_aAutomotive engineering. _954406 |
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| 650 | 1 | 4 |
_aComputational Intelligence. _97716 |
| 650 | 2 | 4 |
_aAutomotive Engineering. _954407 |
| 710 | 2 |
_aSpringerLink (Online service) _954408 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319699349 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319699363 |
| 830 | 0 |
_aSpringerBriefs in Computational Intelligence, _x2625-3712 _954409 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-69935-6 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c79351 _d79351 |
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