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A literature and best practices scan : ITS data management and archiving

To manage and operate the transportation system to exceed customer expectations, data is needed on the structure, status, use, and behavior of the entire transportation system. This "infostructure" serves the needs of the people and organizations that operate and use the system. There are at least three major aspects to fulfilling data needs: 1. Understanding what data is needed by the full range of stakeholders; 2. Creating, operating, maintaining, and updating the mechanisms that will gather, analyze, coordinate, and store the data; 3. Providing convenient, timely, and affordable access to the data to both operators and users of the transportation system. This report aims to provide the literature review and best practice scan for the Intelligent Transportation Systems (ITS) data management and archiving, and articulate the relevance of good and complete data collection to transportation operations and management. The report provides examples of the types of users that can benefit from data, what types of data they would like and what benefits can accrue if these users obtain the quality data they seek. The report overviews the current data collection and management environment, characterizing both the nature and extent of current data collection and the techniques available - or soon to be available - for improved data management and archiving. Finally, this report provides recommendations on what can be done to improve data management to enable increased effectiveness of transportation operations and system usage.