Martin Treiber: Traffic Flow Dynamics, Gebunden
Traffic Flow Dynamics
- Data, Models and Simulation
(soweit verfügbar beim Lieferanten)
- Verlag:
- Springer-Verlag GmbH, 10/2025
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9783031939211
- Artikelnummer:
- 12501465
- Umfang:
- 781 Seiten
- Sonstiges:
- XXVI, 781 p. 294 illus., 277 illus. in color.
- Nummer der Auflage:
- 25002
- Ausgabe:
- Second Edition 2025
- Gewicht:
- 1359 g
- Maße:
- 241 x 160 mm
- Stärke:
- 49 mm
- Erscheinungstermin:
- 6.10.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
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Klappentext
New edition on this fascinating interdisciplinary topic explains advances such that it is easily accessible to students in engineering, physics and mathematics
Presents practical applications of traffic theory such as driving behavior, stability analysis, stop-and-go waves, and travel time estimation
Covers the topic in a novel and systematic way by addressing both microscopic and macroscopic models with a focus on traffic instabilities
Widely expanded to cover pedestrian and mixed traffic flow, including non-lane-based traffic and online and offline navigation
Brings together date which has been scattered throughout the journal literature, thus also making it useful as a reference for established researchers
Biografie (Martin Treiber)
Martin Treiber received his diploma (M.Sc.) and doctoral (Ph.D.) degree in physics in 1996 from the University in Bayreuth, Germany. He is a lecturer at the Chair for Traffic Modeling and Econometrics at the University of Technology in Dresden, Germany and runs the web-site www.traffic-simulation.de. His research interests include vehicular traffic dynamics and modeling, traffic data analysis and state estimation, and the study of macroeconomic impacts of motorized individual traffic.Biografie (Arne Kesting)
Arne Kesting received his diploma (M.Sc.) in physics in 2002 from the Free University of Berlin, Germany, and a doctoral (Ph.D.) degree in 2008 from the University of Technology in Dresden, Germany. In 2009, he received the IEEE ITS Best Ph.D. Dissertation Award for the thesis "Microscopic Modeling of Human and Automated Driving: Towards Traffic-Adaptive Cruise Control". His research interests include microscopic traffic simulation, advanced driver-assistant systems, and car-to-car communication.