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Data-Driven Traffic Engineering - by  Hubert Rehborn & Micha Koller & Stefan Kaufmann (Paperback) - 1 of 1

Data-Driven Traffic Engineering - by Hubert Rehborn & Micha Koller & Stefan Kaufmann (Paperback)

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About this item

Highlights

  • 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.
  • Author(s): Hubert Rehborn & Micha Koller & Stefan Kaufmann
  • 192 Pages
  • Transportation, General

Description



About the Book



"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."--



Book 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.

Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W) x .41 Inches (D)
Weight: .58 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 192
Genre: Transportation
Sub-Genre: General
Publisher: Elsevier
Format: Paperback
Author: Hubert Rehborn & Micha Koller & Stefan Kaufmann
Language: English
Street Date: October 25, 2020
TCIN: 1011878121
UPC: 9780128191385
Item Number (DPCI): 247-36-0482
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.41 inches length x 6 inches width x 9 inches height
Estimated ship weight: 0.58 pounds
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