| 000 | 03916nam a22005655i 4500 | ||
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| 999 |
_c11798 _d11798 |
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| 001 | 978-3-642-54771-3 | ||
| 003 | DE-He213 | ||
| 005 | 20211209142742.0 | ||
| 008 | 160713s2017 gw | s |||| 0|eng d | ||
| 020 | _a9783642547713 | ||
| 040 | _cAIKTC-KRRC | ||
| 041 | _aENG | ||
| 072 | 7 |
_aGPFC _2bicssc |
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| 072 | 7 |
_aTEC009000 _2bisacsh |
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| 072 | 7 |
_aGPFC _2thema |
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| 082 | 0 | 4 |
_a620 _223 |
| 100 | 1 |
_aAubin, Jean-Pierre. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aTraffic Networks as Information Systems _h[electronic resource] : _bA Viability Approach / |
| 250 | _a1st ed. 2017. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2017. |
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| 300 |
_aXVI, 246 p. 39 illus., 37 illus. in color. _bCard Paper |
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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 |
_aMathematical Engineering, _x2192-4732 |
|
| 520 | _aThis authored monograph covers a viability to approach to traffic management by advising to vehicles circulated on the network the velocity they should follow for satisfying global traffic conditions;. It presents an investigation of three structural innovations: The objective is to broadcast at each instant and at each position the advised celerity to vehicles, which could be read by auxiliary speedometers or used by cruise control devices. Namely, 1. Construct regulation feedback providing at each time and position advised velocities (celerities) for minimizing congestion or other requirements. 2. Taking into account traffic constraints of different type, the first one being to remain on the roads, to stop at junctions, etc. 3. Use information provided by the probe vehicles equipped with GPS to the traffic regulator; 4. Use other global traffic measures of vehicles provided by different types of sensors; These results are based on convex analysis, intertemporal optimization and viability theory as mathematical tools as well as viability algorithms on the computing side, instead of conventional techniques such as partial differential equations and their resolution by finite difference or finite elements algorithms. The target audience primarily covers researchers and mathematically oriented engineers but the book may also be beneficial for graduate students. | ||
| 650 | 0 |
_aEXTC Engineering _94619 |
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| 653 | _aOptimization. | ||
| 653 | _aRegional/Spatial Science. | ||
| 653 | _aComputer Appl. in Administrative Data Processing. | ||
| 700 | 1 |
_aDésilles, Anya. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642547706 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642547720 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662568699 |
| 830 | 0 |
_aMathematical Engineering, _x2192-4732 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-642-54771-3 _zClick here to access eBook in Springer Nature platform. (Within Campus only.) |
| 942 |
_cEBOOKS _2ddc |
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