Overview
- Deals with the estimation of travel time in a very comprehensive and exhaustive way
- Provides a novel methodology that enhances current real-time traffic information systems at no extra cost
- Analyzes the challenges and opportunities inherent to cooperative driving and the possible impacts of automation
Part of the book series: Springer Tracts on Transportation and Traffic (STTT, volume 19)
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About this book
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.
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Keywords
Table of contents (8 chapters)
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Front Matter
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Introduction to Travel Time Information
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Front Matter
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New Travel Time Estimation Methods
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Front Matter
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Data Analytics and Models for Dynamic Traffic Management
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Front Matter
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Overall Conclusions and Further Research
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: The Evolution of Travel Time Information Systems
Book Subtitle: The Role of Comprehensive Traffic Models and Improvements Towards Cooperative Driving Environments
Editors: Margarita Martínez-Díaz
Series Title: Springer Tracts on Transportation and Traffic
DOI: https://doi.org/10.1007/978-3-030-89672-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-89671-3Published: 22 January 2022
Softcover ISBN: 978-3-030-89674-4Published: 23 January 2023
eBook ISBN: 978-3-030-89672-0Published: 21 January 2022
Series ISSN: 2194-8119
Series E-ISSN: 2194-8127
Edition Number: 1
Number of Pages: XX, 289
Number of Illustrations: 26 b/w illustrations, 50 illustrations in colour
Topics: Transportation Technology and Traffic Engineering, Civil Engineering, Industries