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008			170530s2017 gw ob 001 0 eng d
020			_a3662544733 _q(electronic bk.)
020			_a9783662544730 _q(electronic bk.)
020			_z3662544717
020			_z9783662544716
040			_aYDX _cYDX _dN$T _dGW5XE _dEBLCP _dN$T _dUAB _dESU _dAZU _dUPM _dOCLCF _dIOG _dCOO _dMERER _dOCLCQ _dOHI _dCSAIL _dU3W _dES-MaUEC _bspa
050		4	_aHE336.T7 _bK476 2017 EB
100	1		_aKerner, B. S. _q(Boris Semenovich)
245	1	0	_aBreakdown in traffic networks : _bfundamentals of transportation science _cBoris S. Kerner.
264		1	_aBerlin _bSpringer _c2017.
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas e índice
505	0		_aPreface; Acknowledgments; Contents; Acronyms and Symbols; 1 Introduction-The Reason for Paradigm Shift in Transportation Science; 1.1 Definitions of Free and Congested Traffic in Empirical Data ; 1.2 Bottlenecks ; 1.3 Definitions of Synchronized Flow and Wide Moving Jam Phases in Empirical Data for Congested Traffic ; 1.4 Traffic Breakdown ; 1.5 Empirical Phase Transitions in Traffic Flow ; 1.6 Empirical Fundamental of Transportation Science ; 1.7 The Origin of Failure of Classical Traffic and Transportation Theories ; 1.7.1 Nature of Stochastic Highway Capacity.
505	8		_a1.7.2 Description of Traffic Breakdown with Classical Traffic Flow Models 1.7.2.1 About Applications of LWR-Model; 1.7.2.2 About Traffic Flow Models of General Motors (GM) Model Class; 1.7.2.3 Common Critical Statements to Classical Traffic Flow Models and Their Applications; 1.7.2.4 About Achievements of Classical Traffic Flow Models; 1.7.3 Deterioration of Traffic System Through Standard Dynamic Traffic Assignment in Networks ; 1.7.4 Failure of Applications of Intelligent Transportation Systems (ITS) Based on Classical Traffic Theories.
505	8		_a1.8 Classical Ideas of Transportation Science and Nucleation Nature of Empirical Traffic Breakdown 1.9 Three-Phase Traffic Theory ; 1.10 Infinite Number of Stochastic Highway Capacities in Three-Phase Theory ; 1.11 Breakdown Minimization (BM) Principle ; 1.12 Mathematical Three-Phase Traffic Flow Models and ITS-Applications of Three-Phase Theory ; 1.13 Criticism of Three-Phase Traffic Theory ; 1.14 Incommensurability of Three-Phase Traffic Theory and Classical Traffic Theories ; 1.15 Objectives of the Book ; 1.16 Book's Structure ; References.
505	8		_a2 Achievements of Empirical Studies of Traffic Breakdown at Highway Bottlenecks; 2.1 Introduction; 2.2 Empirical Features of Traffic Breakdown ; 2.2.1 Traffic Breakdown-Transition from Free to Synchronized Flow at Highway Bottleneck ; 2.2.2 Time-Dependence of Flow Rate During Empirical Traffic Breakdown at Highway Bottleneck ; 2.3 Stochastic Behavior and Probability of Traffic Breakdown at Highway Bottleneck; 2.4 Conclusions ; References; 3 Nucleation Nature of Traffic Breakdown-Empirical Fundamental of Transportation Science; 3.1 Introduction.
505	8		_a3.2 Definitions of Empirical Spontaneous and Empirical Induced Traffic Breakdowns at Highway Bottlenecks 3.3 Explanation of Term ``Nucleus'' for Traffic Breakdown ; 3.4 Nucleation of Empirical Spontaneous Traffic Breakdown at Highway Bottlenecks ; 3.4.1 Waves in Empirical Free Flow ; 3.4.2 Empirical Nucleation of Traffic Breakdown at On-Ramp Bottleneck; 3.4.3 Empirical Nucleation of Traffic Breakdown at Off-Ramp Bottleneck ; 3.4.4 Empirical Permanent Speed Disturbance at Highway Bottleneck and Nucleation of Traffic Breakdown.
520	3		_aThis book offers a detailed investigation of breakdowns in traffic and transportation networks. It shows empirically that transitions from free flow to so-called synchronized flow, initiated by local disturbances at network bottlenecks, display a nucleation-type behavior: while small disturbances in free flow decay, larger ones grow further and lead to breakdowns at the bottlenecks. Further, it discusses in detail the significance of this nucleation effect for traffic and transportation theories, and the consequences this has for future automatic driving, traffic control, dynamic traffic assignment, and optimization in traffic and transportation networks. Starting from a large volume of field traffic data collected from various sources obtained solely through measurements in real world traffic, the author develops his insights, with an emphasis less on reviewing existing methodologies, models and theories, and more on providing a detailed analysis of empirical traffic data and drawing consequences regarding the minimum requirements for any traffic and transportation theories to be valid. The book - proves the empirical nucleation nature of traffic breakdown in networks - discusses the origin of the failure of classical traffic and transportation theories - shows that the three-phase theory is incommensurable with the classical traffic theories, and - explains why current state-of-the art dynamic traffic assignments tend to provoke heavy traffic congestion, making it a valuable reference resource for a wide audience of scientists and postgraduate students interested in the fundamental understanding of empirical traffic phenomena and related data-driven phenomenology, as well as for practitioners working in the fields of traffic and transportation engineering.
650		7	_aTráfico _xMathematical models. _2embne _0(OCoLC)fst01154154 _0 _9140342
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-662-54473-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017D
998			_b02/2018 _dz _e- _zSI
999			_c96074 _d96074 _x1