United States Department of Transportation
i
Remote sensing of multimodal transportation systems : research brief.
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2016-09-01
[PDF-475.32 KB]
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Abstract:Remote Sensing of Multimodal Transportation Systems
Rapid condition monitoring and performance evaluations of the vast and vulnerable transportation infrastructure has been elusive. The framework and models developed in this research will enable the next generation of transportation professionals to develop and deploy affordable and scalable solutions using evolving remote sensing technologies.
Hyperspectral remote sensing is an emerging field with many potential applications in the observation, management, and maintenance of the global transportation infrastructure. This report develops an affordable framework to capture and classify hyperspectral images for transportation systems planning, analysis, and performance assessments. Every hyperspectral image frame contains information in wavelengths that extend well beyond those that the humans are capable of seeing or perceiving. The rapid size and cost reduction of both unmanned aircraft systems and hyperspectral image sensors enables solution scaling by conducting multiple parallel missions to achieve broad area coverage at affordable prices. The authors showcase the general utility of the hyperspectral remote sensing framework for roadway congestion forecasting, railway condition monitoring, and pipeline risk management. To offer additional insights, the authors demonstrate a specific utility of the framework for the rapid detection of hazardous spills.
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