Data-Driven Traffic Engineering PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Data-Driven Traffic Engineering PDF full book. Access full book title Data-Driven Traffic Engineering by Hubert Rehborn. Download full books in PDF and EPUB format.
Author: Hubert Rehborn
Publisher: Elsevier
ISBN: 0128191392
Category : Transportation
Languages : en
Pages : 194
Get Book Here
Book 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. - 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
Author: Hubert Rehborn
Publisher: Elsevier
ISBN: 0128191392
Category : Transportation
Languages : en
Pages : 194
Get Book Here
Book 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. - 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
Author: Hubert Rehborn
Publisher: Elsevier
ISBN: 0128191384
Category : Transportation
Languages : en
Pages : 192
Get Book Here
Book 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.
Author: Moridpour, Sara
Publisher: IGI Global
ISBN: 1522579443
Category : Technology & Engineering
Languages : en
Pages : 197
Get Book Here
Book Description
Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods. Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.
Author:
Publisher: IGI Global
ISBN: 1605662275
Category : Technology & Engineering
Languages : en
Pages : 424
Get Book Here
Book Description
"This book aims at giving a complete panorama of the active and promising crossing area between traffic engineering and multi-agent system addressing both current status and challenging new ideas"--Provided by publisher.
Author: Mashrur Chowdhury
Publisher: Elsevier
ISBN: 0443138796
Category : Computers
Languages : en
Pages : 572
Get Book Here
Book Description
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics
Author: Boris S. Kerner
Publisher: Springer
ISBN: 3662544733
Category : Technology & Engineering
Languages : en
Pages : 673
Get Book Here
Book Description
This book offers a detailed investigation of breakdowns in traffic and transportation networks. It shows empirically that transitions from free flow to so-called synchronized flow, initiated by local disturbances at network bottlenecks, display a nucleation-type behavior: while small disturbances in free flow decay, larger ones grow further and lead to breakdowns at the bottlenecks. Further, it discusses in detail the significance of this nucleation effect for traffic and transportation theories, and the consequences this has for future automatic driving, traffic control, dynamic traffic assignment, and optimization in traffic and transportation networks. Starting from a large volume of field traffic data collected from various sources obtained solely through measurements in real world traffic, the author develops his insights, with an emphasis less on reviewing existing methodologies, models and theories, and more on providing a detailed analysis of empirical traffic data and drawing consequences regarding the minimum requirements for any traffic and transportation theories to be valid. The book - proves the empirical nucleation nature of traffic breakdown in networks - discusses the origin of the failure of classical traffic and transportation theories - shows that the three-phase theory is incommensurable with the classical traffic theories, and - explains why current state-of-the art dynamic traffic assignments tend to provoke heavy traffic congestion, making it a valuable reference resource for a wide audience of scientists and postgraduate students interested in the fundamental understanding of empirical traffic phenomena and related data-driven phenomenology, as well as for practitioners working in the fields of traffic and transportation engineering.
Author: S. Syngellakis
Publisher: WIT Press
ISBN: 178466409X
Category : Transportation
Languages : en
Pages : 230
Get Book Here
Book Description
A continuous requirement for better urban transport systems and the need for a healthier environment has resulted in an increasing demand for new solutions. Innovative systems, new approaches and original ideas need to be thoroughly tested and critically evaluated before they can be implemented in practice. Moreover, there is a growing need for integration with telecommunications systems and IT applications in order to improve safety, security and efficiency. This volume also addresses the need to solve important pollution problems associated with urban transport in order to achieve a healthier environment. The variety of topics covered by the included research works, which were presented at the 26th International Conference on Urban Transport and the Environment, reflect the complex interaction of urban transport systems with their environment and the need to establish integrated strategies. The goal is to arrive at optimal socio-economic solutions while reducing the negative environmental impacts of current transportation systems.
Author: Vishwanadham Mandala
Publisher: JEC PUBLICATION
ISBN: 9361754173
Category : History
Languages : en
Pages : 245
Get Book Here
Book Description
.....
Author: Shaopeng Zhong
Publisher: Springer Nature
ISBN: 9811680167
Category : Business & Economics
Languages : en
Pages : 296
Get Book Here
Book Description
This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data’s impact on mobility patterns and urban planning.
Author: Tom Vanderbilt
Publisher: Vintage Canada
ISBN: 0307373177
Category : Technology & Engineering
Languages : en
Pages : 418
Get Book Here
Book Description
Driving is a fact of life. We are all spending more and more time on the road, and traffic is an issue we face everyday. This book will make you think about it in a whole new light. We have always had a passion for cars and driving. Now Traffic offers us an exceptionally rich understanding of that passion. Vanderbilt explains why traffic jams form, outlines the unintended consequences of our attempts to engineer safety and even identifies the most common mistakes drivers make in parking lots. Based on exhaustive research and interviews with driving experts and traffic officials around the globe, Traffic gets under the hood of the quotidian activity of driving to uncover the surprisingly complex web of physical, psychological and technical factors that explain how traffic works.
