The Evolution of Travel Time Information Systems: The Role of Comprehensive Traffic Models and Improvements Towards Cooperative Driving Environments

This book covers the estimation of travel time in a comprehensive and exhaustive way, discussing the different types of travel time information, introducing and validating two new methodologies, and addressing travel times in dynamic traffic management systems. It also emphasizes the role of data analytics and models in understanding and predicting travel patterns in urban scenarios.

Format: Paperback / softback
Length: 289 pages
Publication date: 23 January 2023
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the intricate realm of estimating travel time, offering a thorough and exhaustive exploration. Travel time information holds immense significance as a vital indicator of the quality of service provided by a road network, and it is a highly valued asset for drivers. Moreover, travel times are crucial inputs for comprehensive traffic management systems, enabling efficient traffic flow and reducing congestion.

Within the pages of this book, all the aforementioned aspects are meticulously covered. The first chapters delve into the diverse types of travel time information that traffic management centers utilize, the methods employed to estimate them, their practical applications, and the mechanisms for disseminating this information. They also highlight areas where this information can be further enhanced, particularly in the context of future cooperative driving environments.

Moving forward, the book introduces and validates two innovative methodologies designed to enhance current travel time information systems. These methodologies stand out for their high applicability, as they rely on data from widely disseminated sources. Consequently, many administrations can immediately implement them without requiring significant investments.

Finally, the book addresses travel times within the context of dynamic traffic management systems. It explores the evolution of these systems in tandem with technological and communication advancements, providing a detailed discussion. Special attention is given 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 depth, highlighting their significance in optimizing traffic flow and reducing congestion.

In summary, this book serves as a valuable resource for professionals, researchers, and policymakers involved in the field of traffic management. It provides a comprehensive and up-to-date understanding of travel time estimation, its importance, and the methodologies employed to improve travel time information systems. By leveraging data and analytics, the book empowers individuals and organizations to make informed decisions and implement effective strategies for enhancing traffic flow and improving the overall quality of road networks.

Weight: 480g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030896744
Edition number: 1st ed. 2022