Enhanced Monitoring and Planning of Network Infrastructure With Remote Data Collection
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2015-04-01
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Edition:Final Report
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Abstract:The goal of the federal program supporting this project is to provide for commercial opportunities to develop and apply remote sensing technologies in the transportation industry. In support of this goal, this project developed a set of tools to for sensing of traffic from airborne imagery. The intent was to develop these tools to the point of demonstrating their practicality and utility in real-world situations. Specifically, the project goal was to produce: (1) a completed software tool, called TRAVIS (Tracking and Registration of Airborne Video Image Sequences), which enhances the ability to collect macroscopic traffic flow data (speeds, densities, flows, etc.) and microscopic data (individual vehicle trajectories); (2) a set of methods to integrate ground-based and airborne sensor data into more accurate and more precise estimates of traffic speeds and densities and vehicle origin-destination behavior; and, (3) a set of methods that can be used to route and schedule airborne sensors to survey the road network and to detect and analyze traffic congestion, allowing the new capability for agencies to plan for traffic data collection using airborne sensors. In producing these tools, one of the critical elements in the program was to establish their viability using practical examples. Hence, for each of these products, a formal and practical demonstration of their value was planned and executed: TRAVIS in Tucson and Tempe, Arizona; data integration methods in Phoenix, Arizona; and routing and scheduling of airborne sensors in Beaverton, Oregon. Through this development and demonstration, the project has met the desired goal of the federal program. More specific details of the project, and its execution, are described briefly in this executive summary, and in the full report.
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