Complex Dynamics of Traffic Management

Boris S. Kerner

ISBN 10: 1493987623 / ISBN 13: 9781493987627

Published by Springer US, Springer US, 2019

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This volume in the Encyclopedia of Complexity and Systems Science (ECSS) covers such fascinating and practical topics as (i) Vehicular traffic flow theory, (ii) Studies of real field traffic data, (iii) Complex phenomena of self-organization in vehicular traffic, (iv) Effect of automatic driving (self-driving vehicles) on traffic flow, v) Complex dynamics of city traffic, (vi) Dynamic control and optimization of traffic and transportation networks, including dynamic traffic assignment in the network, (vii) Pedestrian traffic, (viii) Evacuation scenarios, and (ix) Network characteristics of air control. Review articles are written by international experts covering the diverse and complex dynamics oftraffic management. Topics new to the Second Edition of ECSS include microscopic traffic flow models, self-driving, complex dynamics of bus, tram and elevator delays, and breakdown minimization.

Seller Inventory # 9781493987627

Bibliographic Details

• Title: Complex Dynamics of Traffic Management
• Publisher: Springer US, Springer US
• Publication Date: 2019
• Language: English
• ISBN 10: 1493987623
• ISBN 13: 9781493987627
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 45D millimeters 260 millimeters width by 183 millimeters height by 45 millimeters depth
• Weight: 1821 grams

About this title

Synopsis

This volume in the Encyclopedia of Complexity and Systems Science (ECSS) covers such fascinating and practical topics as (i) Vehicular traffic flow theory, (ii) Studies of real field traffic data, (iii) Complex phenomena of self-organization in vehicular traffic, (iv) Effect of automatic driving (self-driving vehicles) on traffic flow, v) Complex dynamics of city traffic, (vi) Dynamic control and optimization of traffic and transportation networks, including dynamic traffic assignment in the network, (vii) Pedestrian traffic, (viii) Evacuation scenarios, and (ix) Network characteristics of air control. Review articles are written by international experts covering the diverse and complex dynamics of traffic management. Topics new to the Second Edition of ECSS include microscopic traffic flow models, self-driving, complex dynamics of bus, tram and elevator delays, and breakdown minimization.

About the Author

Boris Kerner was born in Moscow in 1947 and graduated from the Moscow Technical University MIREA in 1972. Boris Kerner received his Ph.D. and Sc. D. (Doctor of Sciences) from the Academy of Sciences of the Soviet Union, respectively, in 1979 and 1986. Between 1972 and 1992, his major interests include the physics of semiconductors, plasma, and solid-state physics as well as the development of a theory of autosolitons – solitary intrinsic states, which form in a broad class of physical, chemical, and biological dissipative systems. Since 1992 Boris Kerner worked for the Daimler Company in Stuttgart, Germany. His major interest since then was the understanding of vehicular traffic. The empirical nucleation nature of traffic breakdown at highway understood by Boris Kerner is the basis for three phase traffic theory, which he introduced and developed in 1996–2002. Between 2000 and 2013, Boris Kerner was Head of a scientific research field Traffic at the Daimler Company in Stuttgart (Germany). In 2011, Boris Kerner was awarded with the degree Professor at the University of Duisburg-Essen in Germany. After his retirement from the Daimler Company on January 31, 2013, Prof. Kerner works at the University of Duisburg-Essen. Boris Kerner is the author of more than 250 scientific works and patents as well as four books that are devoted to a variety of physical systems, complex dynamics of traffic flow in traffic and transportation networks, applications of diverse intelligent transportation systems for traffic prognosis, traffic control, dynamic traffic assignment, as well as a study of autonomous and connected vehicles in mixed traffic flow.