LEADER 05801nam 22004933 450 001 9910915791303321 005 20231128080241.0 010 $a2-7598-3194-9 024 7 $a10.1051/978-2-7598-3194-4 035 $a(CKB)28809939700041 035 $a(MiAaPQ)EBC30970936 035 $a(Au-PeEL)EBL30970936 035 $a(DE-B1597)677561 035 $a(DE-B1597)9782759831944 035 $a(FR-PaCSA)88948162 035 $a(EXLCZ)9928809939700041 100 $a20231128d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCar Following Dynamics 205 $a1st ed. 210 1$aLes Ulis :$cEDP Sciences,$d2023. 210 4$d©2023. 215 $a1 online resource (160 pages) 225 1 $aCurrent Natural Sciences Series 311 $a2-7598-3193-0 327 $aIntro -- Car Following Dynamics: Experiments and Models -- Preface -- Contents -- Introduction -- Background -- Traffic Flow Data -- Vehicle Trajectory Data -- Detector Data -- Traffic Flow Parameters -- Flow Rate -- Density and Occupancy -- Speed -- Fundamental Diagram -- Homogeneous, Stationary and Equilibrium Traffic Flow -- The Fundamental Diagram -- Some Common Fundamental Diagram Models -- Greenshields Model -- Pipes-Munjal Model and Del Castillo-Bennitze Model -- Triangular or Trapezoidal Fundamental Diagram Model -- Fundamental Diagram Model with Inflection Point -- Discontinuous Fundamental Diagram Model -- The Characteristics of Traffic Flow Evolution -- Congested Traffic and Phantom Jam -- Synchronized Traffic Flow -- Traffic Breakdown -- Outline of the Book -- References -- Traffic Oscillation Analysis -- Some Previously Observed Results of Traffic Oscillations -- The Platoon Experiments with 25 Cars -- Experimental Setup -- Spatiotemporal Features -- The Concave Growth Patterns -- Traffic Oscillation Simulations by Traditional Models -- Traditional Models -- The Initial Convex Growth Pattern in Traditional Models -- Empirical Oscillation Analysis -- The Platoon Experiment with 50 Cars -- Experimental Results -- Corroborating Empirical Observations -- The High-Speed Experiment -- Experimental Setup -- Experimental Results -- The Lightly Congested Flow Experiment -- Experimental Setup -- Experimental Results -- References -- Car Following Behavior Analysis -- The Velocity Distribution Analysis -- The Spacing Analysis -- The Platoon Length Analysis -- The Acceleration Analysis -- The Wave Travel Time Analysis -- Some Observed Features of ?n(t) Time Series -- New Experimental Data Analysis -- Indifference Region Analysis -- Sensitivity Factor Analysis in Car Following -- Stochasticity Factor Analysis in Car Following. 327 $aAnalysis of Competition Between Stochastic and Speed Adaptation Effects -- References -- Cellular Automaton Models -- Abstract -- The Basic CA Models -- The NaSch Model -- The Slow-To-Start Model -- The Kerner-Klenov-Wolf Model for Synchronized Traffic Flow -- The Generalized NaSch Models -- The Comfortable Driving Model and Its Variants -- Two-State Model and Its Improved Version -- References -- Car Following Models -- Abstract -- The Extensions of Traditional Models -- The Insensitivity Model -- The Speed Adaption Model -- The Variants of Newell Model -- Empirical Congested Pattern Simulation -- Vehicle Trajectory Simulation -- Platoon Oscillation Simulation -- The Improved 2D-ID Model -- The E2D-ID Model -- References -- Appendix -- Outlook. 330 $aOver the past nine decades, the field of traffic flow studies has witnessed remarkable advancements driven by empirical data. These data have illuminated traffic phenomena like breakdowns, oscillations, and hysteresis. However, despite these strides, the intricate nature of traffic flow and its underlying mechanisms remain subjects of ongoing debate and incomplete comprehension. Robert Herman, the pioneering figure in transportation science, firmly believed in the experimental essence of traffic theory. Unlike conventional practices of collecting limited traffic flow data, conducting traffic experiments empowers control of flow composition and rate, minimizes interference from complex variables, and facilitates the discovery of fundamental characteristics and mechanisms of traffic flow. In alignment with Herman's conviction, the authors of this book undertook a series of experimental and modeling studies to delve into the intricacies of traffic flow evolution through the lens of car-following dynamics. Rooted in systems science and engineering theory, this book commences with experimental exploration of traffic flow. Employing methods to unearth individual decision-making mechanisms, the evolutionary patterns of group behavior, and their interconnectedness, theoretical models are employed to bridge micro-mechanisms with macro-phenomena. This approach introduces innovative ideas and methods, fostering the refined development of urban traffic behavior and management theory. It makes vital contributions in unraveling driver behavior and the evolution of road traffic flow, transcending conventional theories, and addressing globally recognized transportation challenges. Ultimately, it plays a pivotal role in advancing modern traffic flow theory that aligns with real-world complexities. 410 0$aCurrent Natural Sciences Series 606 $aTechnology & Engineering / Civil / Transportation$2bisacsh 615 7$aTechnology & Engineering / Civil / Transportation. 700 $aTIAN$b Junfang$01779779 701 $aJIANG$b Rui$01721768 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910915791303321 996 $aCar Following Dynamics$94303336 997 $aUNINA