Application of sensor networks to intelligent transportation systems.
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2009-12-01
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Abstract:The objective of the research performed is the application of wireless sensor networks to intelligent transportation infrastructures, with the aim of increasing their dependability and improving the efficacy of data collection and utilization. Examples include health monitoring of bridges, flood level detection, and other applications of real-time data collection and analysis. This project will enable modeling, prediction, and improvement of trustworthiness for a variety of transportation infrastructures. In collaboration with the Center for Infrastructure Engineering Studies (CIES), a prototype of a base station with data acquisition and long range communication capabilities has been developed. The current application is the measurement of water levels for low-water bridges, and the prototype will be deployed by MoDOT in the immediate future. The research is directly tied to embedded computing (which is the subject of a course previously taught by the principal investigator) and to digital network communications (a new course developed and recently taught by the principal investigator). Three graduate students, one of whom is funded by the UTC, and two undergraduates are involved in the research. Planned future activities include collaboration with service learning activities at Missouri S&T, as well as the National Engineering Projects in Community Service (EPICS) program.
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