
The Evolution of Travel Time Information Systems
The Role of Comprehensive Traffic Models and Improvements Towards Cooperative Driving Environments
Margarita Martínez-Díaz(Editor)
Springer (Publisher)
Published on 22. January 2022
Book
Hardback
XX, 289 pages
978-3-030-89671-3 (ISBN)
Description
This book deals with the estimation of travel time in a very comprehensive and exhaustive way. Travel time information is and will continue to be one key indicator of the quality of service of a road network and a highly valued knowledge for drivers. Moreover, travel times are key inputs for comprehensive traffic management systems.
All the above-mentioned aspects are covered in this book. The first chapters expound on the different types of travel time information that traffic management centers work with, their estimation, their utility and their dissemination. They also remark those aspects in which this information should be improved, especially considering future cooperative driving environments.Next, the book introduces and validates two new methodologies designed to improve current travel time information systems, which additionally have a high degree of applicability: since they use data from widely disseminated sources, they could be immediately implemented by many administrations without the need for large investments.
Finally, travel times are addressed in the context of dynamic traffic management systems. The evolution of these systems in parallel with technological and communication advancements is thoroughly discussed. Special attention is paid to data analytics and models, including data-driven approaches, aimed at understanding and predicting travel patterns in urban scenarios. Additionally, the role of dynamic origin-to-destination matrices in these schemes is analyzed in detail.
All the above-mentioned aspects are covered in this book. The first chapters expound on the different types of travel time information that traffic management centers work with, their estimation, their utility and their dissemination. They also remark those aspects in which this information should be improved, especially considering future cooperative driving environments.Next, the book introduces and validates two new methodologies designed to improve current travel time information systems, which additionally have a high degree of applicability: since they use data from widely disseminated sources, they could be immediately implemented by many administrations without the need for large investments.
Finally, travel times are addressed in the context of dynamic traffic management systems. The evolution of these systems in parallel with technological and communication advancements is thoroughly discussed. Special attention is paid to data analytics and models, including data-driven approaches, aimed at understanding and predicting travel patterns in urban scenarios. Additionally, the role of dynamic origin-to-destination matrices in these schemes is analyzed in detail.
More details
Series
Edition
2022 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
26 s/w Abbildungen, 50 farbige Abbildungen
XX, 289 p. 76 illus., 50 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 23 mm
Weight
635 gr
ISBN-13
978-3-030-89671-3 (9783030896713)
DOI
10.1007/978-3-030-89672-0
Schweitzer Classification
Other editions
Additional editions

Margarita Martínez-Díaz
The Evolution of Travel Time Information Systems
The Role of Comprehensive Traffic Models and Improvements Towards Cooperative Driving Environments
Book
01/2023
Springer
€160.49
Shipment within 7-9 days

Margarita Martínez-Díaz
The Evolution of Travel Time Information Systems
The Role of Comprehensive Traffic Models and Improvements Towards Cooperative Driving Environments
E-Book
01/2022
1st Edition
Springer
€149.79
Available for download
Content
Traffic monitoring and reconstruction.- Travel time information revisited.- A simple algorithm for the estimation of road traffic space mean speeds from data available to most management centers.- Accurate, affordable and widely applicable freeway travel time prediction: fusing vehicle counts with data provided by new monitoring technologies.- Travel time information systems in the era of cooperative automated vehicles.- Dynamic traffic management: a bird´s eye view.- Data analytics and models for understanding and predicting travel patterns in urban scenarios.- Overall conclusions and further research