Complex Dynamics of Traffic Management

Complex Dynamics of Traffic Management

Author: Boris S. Kerner

Publisher: Springer

ISBN: 1493987623

Category: Technology & Engineering

Page: 753

View: 770

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.
Complex Dynamics of Traffic Management
Language: en
Pages: 753

Complex Dynamics of Traffic Management

Authors: Boris S. Kerner
Categories: Technology & Engineering
Type: BOOK - Published: 2019-07-09 - Publisher: Springer

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
Data-Driven Traffic Engineering
Language: en
Pages: 192

Data-Driven Traffic Engineering

Authors: Hubert Rehborn, Micha Koller, Stefan Kaufmann
Categories: Transportation
Type: BOOK - Published: 2020-10-23 - Publisher: Elsevier

Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory shifts the current focus from using modeling and simulation data for traffic measurements to the use of actual data. The book uses real-world, empirically-derived data from a large fleet of connected vehicles, local observations and aerial observation
Understanding Real Traffic
Language: en
Pages: 243

Understanding Real Traffic

Authors: Boris S. Kerner
Categories: Technology & Engineering
Type: BOOK - Published: 2021-09-01 - Publisher: Springer Nature

This book addresses the reader interested in vehicular traffic phenomena, who have not learned about them before. It presents traffic phenomena like traffic breakdown and the emergence of moving traffic jams by showcasing empirical traffic data measured in real-world traffic. The author explains how these empirical traffic studies have led
Physics of the Human Temporality
Language: en
Pages: 641

Physics of the Human Temporality

Authors: Ihor Lubashevsky, Natalie Plavinska
Categories: Science
Type: BOOK - Published: 2021-11-22 - Publisher: Springer Nature

This book presents a novel account of the human temporal dimension called the “human temporality” and develops a special mathematical formalism for describing such an object as the human mind. One of the characteristic features of the human mind is its temporal extent. For objects of physical reality, only the
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
Language: en
Pages: 554

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

Authors: Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, Jose A. Lozano
Categories: Computers
Type: BOOK - Published: 2021-09-09 - Publisher: Springer Nature

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event