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

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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.

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Product Description

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.

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Product Details

General

Imprint

Elsevier Science Publishing Co Inc

Country of origin

United States

Release date

October 2020

Availability

Expected to ship within 12 - 17 working days

First published

2021

Authors

, ,

Dimensions

229 x 152 x 21mm (L x W x T)

Format

Paperback

Pages

192

ISBN-13

978-0-12-819138-5

Barcode

9780128191385

Categories

LSN

0-12-819138-4



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