Data-driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-phase Traffic Theory - Couverture souple

Rehborn, Hubert; Koller, Micha; Kaufmann, Stefan

 
9780128191385: Data-driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-phase Traffic Theory
Couverture souple
ISBN 10 : 0128191384 ISBN 13 : 9780128191385
Editeur : Elsevier Science Publishing Co Inc, 2020

Synopsis

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 to shed light on key traffic phenomena. Readers will learn how to develop an understanding of the empirical features of vehicular traffic networks and how to consider these features in emerging, intelligent transport systems. Topics cover congestion patterns, fuel consumption, the influence of weather, and much more.

This book offers a unique, data-driven analysis of vehicular traffic in traffic networks, also considering how to apply data-driven insights to the intelligent transport systems of the future.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

Hubert Rehborn is a traffic researcher at Daimler AG where he investigates the future of traffic as part of connected navigations systems. His doctorate in Electrical Engineering is from the University of Hagen, and he holds more than 135 patents, and has authored more than 60 papers in the field.

Micha Koller is a traffic researcher at Daimler AG responsible for the worldwide operation and development of traffic services. He has a doctorate in Computer Science from the University of Tübingen, holds more than 30 patents, and has published widely in the field.

Consultant, Germany

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Elsevier Science Publishing Co Inc
Date d'édition
2020
Langue
anglais
ISBN 10 
0128191384
ISBN 13 
9780128191385
Reliure
Broché
Nombre de pages
192
Coordonnées du fabricant
ELSEVIER
https://www.elsevier.com/es-es

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