Traffic Flow Dynamics - Arne Kesting

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Résumé :
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...

Biographie:
Martin Treiber received his diploma (M.Sc.) and doctoral (Ph.D.) degree in physics in 1996 from the University of Bayreuth, Germany. He is a lecturer at the Chair of Econometrics and Statistics, esp. in the Transport Sector at the Dresden University of Technology, Germany and runs the web-site www.traffic-simulation.de. His research interests include vehicular and nonmotorized traffic dynamics and modeling, traffic data analysis and state estimation, and the study of macroeconomic impacts of motorized individual traffic. Arne Kesting received his diploma (M.Sc.) in physics in 2002 from Freie Universit?t Berlin the Free University of Berlin, Germany, and a doctoral (Ph.D.) degree in 2008 from the Dresden University of Technology, 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 floating-car data analysis. Today, he is working in an R&D team on live traffic services at TomTom, Berlin, Germany....

Sommaire:
Introduction.- Part I Traffic Data: Trajectroy and Floating-Car Data.- Cross-Sectional Data.- Representations of Cross-Sectional Data.- Spatiotemporal Reconstruction of the Traffic State.- Part II Traffic Flow Modeling: General Aspects.- Continuity Equation.- The Lighthill-Whitham-Richards Model.- Macroscopic Models with Dynamic Velocity.- Elementary Car-Following Models.- Car-Following Models based on Driving Strategies.- Modeling Human Aspects of Driving Behavior.- Cellular Automata.- Lane-Changing and other Discrete-Choice Situations.- Stability Analysis.- Calibration and Validation.- The Phase Diagram of Congested Traffic States.- Part III Applications of Traffic Flow Theory: Traffic Flow Breakdown and Traffic-State Recognition.- Travel Time Estimation.- Fuel Consumption and Emissions.- Model-Based Traffic-Flow Optimization.- Solutions to the Problems.- Index....