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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.
This monograph presents a simple, innovative approach for the measurement and short-term prediction of highway travel times based on the fusion of inductive loop detector and toll ticket data. The methodology is generic and not technologically captive, allowing it to be easily generalized for other equivalent types of data. The book shows how Bayesian analysis can be used to obtain fused estimates that are more reliable than the original inputs, overcoming some of the drawbacks of travel-time estimations based on unique data sources. The developed methodology adds value and obtains the maximum (in terms of travel time estimation) from the available data, without recurrent and costly requirements for additional data. The application of the algorithms to empirical testing in the AP-7 toll highway in Barcelona proves that it is possible to develop an accurate real-time, travel-time information system on closed-toll highways with the existing surveillance equipment, suggesting that highway operators might provide their customers with such an added value with little additional investment in technology.
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
This report from the second Strategic Highway Research Program (SHRP 2), which is administered by the Transportation Research Board of the National Academies, sets out requirements for travel time reliability within a performance-based planning process. The research includes an effort to determine the economic value of improvements in travel time reliability by applying options theory from the financial sector. The report includes two succinct tables that describe requirements for person and freight trips for reliable transport, as well as a forecast of the year 2030 under alternative assumptions that may influence travel time reliability.
This book constitutes the refereed proceedings of the 11th East European Conference on Advances in Databases and Information Systems, ADBIS 2007, held in Varna, Bulgaria, in September/October 2007. The 23 revised papers presented together with three invited lectures were carefully reviewed and selected from 77 submissions. The papers address current research on database theory, development of advanced DBMS technologies, and their advanced applications.
This synthesis reports on the state of the practice in real-time traveler information systems. Emphasis is placed on the needs and expectations of travelers, the current status of a variety of traveler information systems in the United States, available and emerging data sources, and business models for sustaining traveler information. This synthesis will benefit state DOT transportation managers and others that provide or seek to provide affordable, accurate, timely, and effective information in a format that travelers can use.
In recent years more emphasis has been placed in transport research on using existing roads as efficiently as possible in order to diminish the impact of traffic congestion. This book describes new theoretical, empirical and simulation models to analyse the impact of information provision to drivers and road pricing on congestion levels. It is the first publication presenting a wide variety of economic models to study information and road pricing effects jointly.
In the global information society, innovation is a highly pervasive process that influences all facets of human life: cultural, economic, political, and institutional. A desire to comprehend the impacts of innovative change on so many areas of urban life prompted the research project that has resulted in the publication of this volume. Our research confirms that we are presently in the midst of an era of rapid and explosive change. The primary engine driving this latest transformation of the post-industrial society is generally thought to be technological. But such an explanation is too narrow. Broadly speaking, the age in which we find ourselves could be more aptly described as a global, knowledge-intensive age. Many of today's knowledge-intensive activities, like research and development (R&D) programs, are being conducted with relative ease on a multinational scale. As well as science having an increasing impact on processes of innovation, R&D activities also have become more complex. We can observe a growing sophistication of learning-by-doing among creative economic agents. This more sophisticated era of global knowledge exchange is facilitated by major advances in our infrastructure networks. In this highly interactive world, many innovations are by-products of collective exchanges between cities far apart, simplified by the ease of transport and communication. Thus, there is a need for us to look more closely at various collective sequences of learning, knowledge exchange and innovation in a spatial setting. This is the primary purpose of this book.
Originally published in 1999, this volume contains a systematic collection of both theoretical and applied studies on user information systems for road users. It is generally expected that reliable information offered to road users will improve the use of scarce capacity on transport networks but from a research perspective the question arises whether the provision of such hard and software will influence the behaviour of road users to such an extent that a more desirable traffic situation will emerge. The book contains European, American and Asian contributions and presents advances and findings in the field of theoretical, simulation and empricial models on driver information systems and behaviour, whilst also paying attention to the design of such systems.
The proliferation of information systems throughout the criminal justice system has prompted many universities supporting criminal justice programs to add criminal justice information systems technology to their curriculums. Several universities have gone so far as to hire professors with specializations in information technology and to offer criminal justice information systems as an area of concentration. Introduction to Criminal Justice Information Systems gives an overview of the various software systems and technologies currently used in the criminal justice environment. The book covers a variety of topics critical to each member of the criminal justice system: police, prosecutor, courts, and corrections. It details the current systems in use, how they are used, and how separate systems interact with others. It also suggests how the current technology and the processes built upon it will evolve. While designed as a textbook to meet the needs of an introductory criminal justice information technology course, Introduction to Criminal Justice Information Systems is also a flexible resource useful to professionals in relevant areas of the criminal justice system. With rapidly increasing development and use of technology in modern law enforcement, this book provides a much-needed reference for those who are responsible for its implementation as well as an essential introduction to those who will become responsible for it. An instructor's manual is available as an electronic download upon request.