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原文传递 ITS Data: Tapping the Resource for System Operation

题名：	ITS Data: Tapping the Resource for System Operation
作者：	Billy M. Williams; Brian L. Smith
关键词：	ITS; Operation; Resource; Tapping
摘要：	Remotely sensed traffic condition data have been foundational from the beginnings of ITS. Although there has been a growing sense in the ITS community of the significant value in these data, many of the early systems simply used the data for “real-time” analysis and then discarded them. The advent of the new archived data user service (ADUS) is an important milestone in the ongoing effort to realize the value in ITS data. The value of ITS data to transportation planning and to basic and applied research in traffic flow theory and transportation demand modeling is obvious. Planners and researchers have long felt that their work would be significantly improved by an increase in the quality and quantity of traffic condition and travel demand data. On the other hand, the ADUS benefits to on-line ITS operations are not as obvious because envisioning them requires “thinking outside of the box.” As a case in point, the proposed ADUS Program Plan Addendum includes no “near-term” ITS operation benefits and the “mid-term” benefits are those that will accrue from research to improve modeling and theory. However, research is underway at Virginia’s Smart Travel Laboratory at the University of Virginia that seeks to develop near-term ADUS-empowered enhancements for ITS operations. The Smart Travel Lab, a joint effort of the University of Virginia and the Virginia Transportation Research council, provides an ideal environment for developing and testing operational innovations through its dedicated access to “real-time” ITS data. The data-dependent operational components discussed in this paper are merely the tip of the iceberg. We must continually apply our imagination and ingenuity as we envision new ways that archived data can enhance ITS operations. The Smart Travel Lab research elements discussed in this paper are – · Data warehouse design and development · Traffic condition forecasting · System state visualization · Decision support through case-based reasoning
总页数：	ITS America. Meeting (9th : 1999 : Washington, D.C..). New thinking in transportation : conference proceedings. 1999. pp7
报告类型：	科技报告