Commercial Remote Sensing & Spatial Information Technologies Program: Program Highlights
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2017-01-01
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Abstract:The Commercial Remote Sensing and Spatial Information Technologies (CRS&SI) program was a congressionally mandated program authorized in the Safe, Accountable, Flexible and Efficient Transportation Equity Act: A Legacy for Users (SAFETEA-LU). Under this mandate, the Program was charged to validate commercial remote sensing products and spatial information technologies for application to national transportation infrastructure development and construction. This Program focused on major national initiatives and validation of CRS&SI technology applications which deliver smarter and more efficient methods, processes and services for transportation infrastructure development and construction. The Program projects were competitively awarded to individual/consortia teams of university research entities working in partnership with industry and state agencies. Remote Sensing includes remotely sensed imageries and data from satellites, aerial platforms, manned and unmanned vehicles. Spatial Information Technology includes Position and Navigation data from Global Positioning systems, Geospatial Information Systems etc.
Focus areas of the projects were chosen based on the Agency’s priorities for CRS&SI technology applications for user services that had the potential to produce a high return on investment, in terms of saving costs and improving efficiency for practices of infrastructure development, planning, construction and condition assessment. Therefore, in order to ensure safe and efficient movement of people and freight within the national transportation infrastructure system, the program solicited projects dedicated to reduce inefficiencies, improve system performance, and assess infrastructure condition through implementation of applied research. Some specific focus areas of applied research were as follows: • Risk assessment & evaluation: network level risk assessment and evaluation of transportation infrastructure associated with natural calamities such as floods, storms, hurricanes, earth quakes etc.; • Post-hazard response: network-level inspection and evaluation technologies for bridges, large culverts, tunnels, sign structures, etc. that provide quantitative data for planning, maintenance, and management; • Planning, operations, maintenance & program development: infrastructure systems to include waterways, highway facilities, freight, public transportation, intelligent transportation systems and railroads; and • System deficiency detection & damage prevention: all modes of surface transportation.
The objectives of research efforts were focused to: • Apply and validate CRS&SI technologies to collect data and provide a framework for analysis in studies and
projects related to infrastructure development design, planning and construction; • Apply spatial-based technology applications to increase efficiency and safety, and reduce congestion; • Apply concepts of CRS&SI technology integration and products to monitor the condition of constructed infrastructure systems and provide quantitative data to reduce/supplement components of current visual inspection procedures and practices; • Develop and apply decision support systems using CRS&SI data and visualization techniques to effectively monitor/assess the condition of existing/new infrastructure systems; • Develop tools/products and effectively disseminate the results to relevant transportation user-communities such as academia, private sector and public sector agencies; and • Develop and execute comprehensive project outreach programs to effectively inform and disseminate project results and products to relevant transportation user-communities such as academia, private sector and public sector agencies.
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