Data-Driven Traffic Engineering
Understanding of Traffic and Applications Based on Three-Phase Traffic Theory
- 1st Edition - October 23, 2020
- Authors: Hubert Rehborn, Micha Koller, Stefan Kaufmann
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 9 1 3 8 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 9 1 3 9 - 2
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… Read more
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Request a sales quoteData-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
Researchers, engineers including traffic engineers, transportation engineers, traffic system designers, highway engineers, data analysts, information technology specialists, database specialists; traffic scientists
- 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
- Abstract
- 2.1: Loop detector data
- 2.2: Probe vehicle data
- 2.3: Camera-based microscopic measurements
- Chapter 3: Analysis of congested traffic pattern features on freeways: A historical overview
- Abstract
- 3.1: About empirical studies of traffic congestion
- 3.2: A brief history of Kerner's three-phase traffic theory
- 3.3: Summary of some main hypotheses of Kerner's three-phase traffic theory
- 3.4: Main types of spatiotemporal congested traffic patterns
- 3.5: Detection of congested traffic patterns based on probe vehicles
- Chapter 4: Congested traffic patterns in urban areas
- Abstract
- 4.1: Synchronized flow patterns at a traffic signal
- 4.2: Classification of urban traffic patterns
- 4.3: Probability of speed breakdown
- 4.4: Detection of urban traffic patterns based on camera observations
- 4.5: Traffic flow optimization by change of vehicle behavior
- Chapter 5: Applications of traffic in transportation science
- Abstract
- 5.1: Introduction
- 5.2: Reconstruction of freeway congested traffic patterns based on measured detector data
- 5.3: Mobility parameters
- 5.4: Route choice behaviour in networks
- 5.5: Jam tail warning
- 5.6: Fuel consumption in road networks
- 5.7: Automated driving: The problem of merging
- 5.8: Traffic information for in-vehicle control units
- 5.9: Traffic services for navigation systems
- Chapter 6: Future directions
- Index
- No. of pages: 192
- Language: English
- Edition: 1
- Published: October 23, 2020
- Imprint: Elsevier
- Paperback ISBN: 9780128191385
- eBook ISBN: 9780128191392
HR
Hubert Rehborn
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.
Affiliations and expertise
Traffic Researcher, Daimler AG, GermanyMK
Micha Koller
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.
Affiliations and expertise
Traffic Researcher, Daimler AGSK
Stefan Kaufmann
Consultant, Germany
Affiliations and expertise
Consultant, GermanyRead Data-Driven Traffic Engineering on ScienceDirect