Data-Driven Traffic Engineering
Understanding of Traffic and Applications Based on Three-Phase Traffic Theory
- 192 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Data-Driven Traffic Engineering
Understanding of Traffic and Applications Based on Three-Phase Traffic Theory
About this 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.- Provides an empirically-driven analysis of traffic measurements/congestion based on real-world data collected from a global fleet of vehicles- Applies Kerner's three-phase traffic theory to empirical data- Offers a critical scientific understanding of the underlying concerns of traffic control in automated driving and intelligent transport systems
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Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Aim of the book
- Expected readers
- Scope and outline of the book
- Chapter 1: Introduction
- Chapter 2: How traffic data are measured
- Chapter 3: Analysis of congested traffic pattern features on freeways: A historical overview
- Chapter 4: Congested traffic patterns in urban areas
- Chapter 5: Applications of traffic in transportation science
- Chapter 6: Future directions
- Index