Name: Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory (en Inglés)
Price: 196570.00 CLP
Availability: InStock
Author: Hubert Rehborn; Micha Koller; Stefan Kaufmann
ISBN: 9780128191385

portada Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory (en Inglés)

Formato

Libro Físico

Editorial

Elsevier

Autor

Hubert Rehborn; Micha Koller; Stefan Kaufmann

Año

2020

Idioma

Inglés

N° páginas

192

Encuadernación

Tapa Blanda

ISBN13

9780128191385

N° edición

Categorías

Transporte: interés general

Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory (en Inglés)

Hubert Rehborn; Micha Koller; Stefan Kaufmann (Autor) · Elsevier · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory (en Inglés)"

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.Provides an empirically-driven analysis of traffic measurements/congestion based on real-world data collected from a global fleet of vehiclesApplies Kerner's three-phase traffic theory to empirical dataOffers a critical scientific understanding of the underlying concerns of traffic control in automated driving and intelligent transport systems