LEADER 05596nam 22006135 450 001 9910254320003321 005 20200703080907.0 010 $a3-662-54473-3 024 7 $a10.1007/978-3-662-54473-0 035 $a(CKB)3710000001388740 035 $a(DE-He213)978-3-662-54473-0 035 $a(MiAaPQ)EBC4866424 035 $a(PPN)201469049 035 $a(EXLCZ)993710000001388740 100 $a20170526d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBreakdown in Traffic Networks$b[electronic resource] $eFundamentals of Transportation Science /$fby Boris S. Kerner 205 $a1st ed. 2017. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2017. 215 $a1 online resource (XXIX, 652 p. 214 illus., 102 illus. in color.) 311 $a3-662-54471-7 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction. The Reason for Paradigm Shift in Transportation Science -- Achievements of Empirical Studies of Traffic Breakdown at Highway Bottlenecks -- Nucleation Nature of Traffic Breakdown ? Empirical Fundamentalof Transportation Science -- Failure of Generally Accepted Classical Traffic Flow Theories -- Theoretical Fundamental of Transportation Science ? The Three-Phase Theory -- Effect of Automatic Driving on Probability of Breakdown in Traffic Networks -- Future Automatic Driving based on Three-Phase Theory -- The Reason for Incommensurability of Three-Phase Theory with Classical Traffic Flow Theories -- Time-Delayed Breakdown at Traffic Signal in City Traffic -- Theoretical Fundamental of Transportation Science ? Breakdown Minimization (BM) Principle -- Maximization of Network Throughput Ensuring Free Flow Conditions in Network -- Minimization of Traffic Congestion in Networks -- Deterioration of Traffic System through Standard Dynamic Traffic Assignment in Networks -- Discussion of Future Dynamic Traffic Assignment and Control in Networks -- Conclusions and Outlook -- Kerner-Klenov Stochastic Microscopic Model in Framework of Three-Phase Theory -- Kerner-Klenov-Schreckenberg-Wolf (KKSW) Cellular Automaton (CA) Three-Phase Model -- Dynamic Traffic Assignment based on Wardrop?s UE with Step-by-Step Method -- Glossary -- Index. 330 $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. 606 $aTransportation engineering 606 $aTraffic engineering 606 $aSociophysics 606 $aEconophysics 606 $aComputational complexity 606 $aPhysics 606 $aTransportation Technology and Traffic Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T23120 606 $aData-driven Science, Modeling and Theory Building$3https://scigraph.springernature.com/ontologies/product-market-codes/P33030 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 615 0$aTransportation engineering. 615 0$aTraffic engineering. 615 0$aSociophysics. 615 0$aEconophysics. 615 0$aComputational complexity. 615 0$aPhysics. 615 14$aTransportation Technology and Traffic Engineering. 615 24$aData-driven Science, Modeling and Theory Building. 615 24$aComplexity. 615 24$aApplications of Graph Theory and Complex Networks. 676 $a629.04 700 $aKerner$b Boris S$4aut$4http://id.loc.gov/vocabulary/relators/aut$0989106 906 $aBOOK 912 $a9910254320003321 996 $aBreakdown in Traffic Networks$92262090 997 $aUNINA