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A nice night of October 2007, in Beijing, during the XV World Conference on ITS a number of colleagues met informally for a dinner party that spontaneously became a vivid discussion on the importance of traffic data for all types of p- poses. Researchers can hardly do any progress in modeling, developing, and te- ing theories without suitable data, and what practitioners can do in real life is limited not only by technology but also by the availability of the required data. Quite frequently, the data and not the technologies are what determine how far we can go. Any discussion about traffic data leads in a natural way to a discussion on the variety of traffic data sources, formats, levels of aggregation, accuracies, and so on. Consequently, we moved to talk on the initiative that Kuwahara had undertaken in his traffic laboratory at the University of Tokyo, known as the International Traffic Data Base, and thus smoothly but inexorably we came to agree that it would be convenient to organize a workshop to continue our discussion at a more formal level, share our points of view with other colleagues, listen what they had to say and, if possible, d- seminate the findings in our professional and academic communities.
This Festschrift volume, published in honor of Brian Randell on the occasion of his 75th birthday, contains a total of 37 refereed contributions. Two biographical papers are followed by the six invited papers that were presented at the conference 'Dependable and Historic Computing: The Randell Tales', held during April 7-8, 2011 at Newcastle University, UK. The remaining contributions are authored by former scientific colleagues of Brian Randell. The papers focus on the core of Brian Randell’s work: the development of computing science and the study of its history. Moreover, his wider interests are reflected and so the collection comprises papers on software engineering, storage fragmentation, computer architecture, programming languages and dependability. There is even a paper that echoes Randell’s love of maps. After an early career with English Electric and then with IBM in New York and California, Brian Randell joined Newcastle University. His main research has been on dependable computing in all its forms, especially reliability, safety and security aspects, and he has led several major European collaborative projects.
A nice night of October 2007, in Beijing, during the XV World Conference on ITS a number of colleagues met informally for a dinner party that spontaneously became a vivid discussion on the importance of traffic data for all types of p- poses. Researchers can hardly do any progress in modeling, developing, and te- ing theories without suitable data, and what practitioners can do in real life is limited not only by technology but also by the availability of the required data. Quite frequently, the data and not the technologies are what determine how far we can go. Any discussion about traffic data leads in a natural way to a discussion on the variety of traffic data sources, formats, levels of aggregation, accuracies, and so on. Consequently, we moved to talk on the initiative that Kuwahara had undertaken in his traffic laboratory at the University of Tokyo, known as the International Traffic Data Base, and thus smoothly but inexorably we came to agree that it would be convenient to organize a workshop to continue our discussion at a more formal level, share our points of view with other colleagues, listen what they had to say and, if possible, d- seminate the findings in our professional and academic communities.
"Technologies for Improving Safety Data explores new technologies for the acquisition, processing, and overall management of crash, roadway inventory, and traffic operations data. The report examines the current state-of-the-practice and state-of-the-art use of technologies for efficient and effective collection and maintenance of data for highway safety analysis." -- publisher's website.
In every part of the world information and technology are changing society and challenging the structures, roles, and management of traditional government institutions. At the same time, universal needs for human and social development, environmental protection, commercial and financial stability, and scientific and technological advancement demand governmental attention. In this complex and changing environment, governments are still expected to provide for the public good through legal and political processes, and public programs and services. Digital transformation, electronic government, government 2.0, and electronic governance are just some of the labels used to characterize the ideas and actions that underlie adaptation, transformation, and reform efforts. This book contributes to the ongoing dialog within the digital government research and practice community by addressing leadership and management challenges through the interplay of five interconnected themes: management, policy, technology, data, and context. These themes are evident in a wide range of topics including policy informatics, smart cities, cross-boundary information sharing, service delivery, and open government, among others. Accordingly, it includes chapters that explore these themes conceptually and empirically and that emphasize the importance of context, the need for cross‐boundary thinking and action, a public value approach to performance, and the multi‐dimensional capabilities necessary to succeed in a dynamic, multi‐stakeholder environment. The chapters in this book were originally published as a special issue of the journal, Public Management Review.
TRB Special Report 280 â€" Development and Deployment of Standards for Intelligent Transportation Systems (ITS): Review of the Federal Program presents recommendations for future management of the Federal Highway Administration’s ITS Standards Program.
GIS data and tools are revolutionizing transportation research and decision making, allowing transportation analysts and professionals to understand and solve complex transportation problems that were previously impossible. Here, Miller and Shaw present a comprehensive discussion of fundamental geographic science and the applications of these principles using GIS and other software tools. By providing thorough and accessible discussions of transportation analysis within a GIS environment, this volume fills a critical niche in GIS-T and GIS literature.