Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota
This project is the extension of a Northland Advanced Transportation System Research Laboratory (NATSRL)
FY09 project, titled as “Intelligent Pavement for Traffic Flow Detection”, which aims to explore a new approach in
detecting vehicles on a roadway by making a roadway section as a traffic flow detector. Sections of a given
roadway are paved with carbon-nanotube (CNT) enhanced pavement; the piezoresitive property of carbon
nanotubes enables the pavement to detect the traffic flow. Meanwhile, CNTs can also work as reinforcement
elements to improve the strength and toughness of the concrete pavement. The proposed sensor is expected to have
a long service life with little maintenance and wide-area detection capability. In the FY09 project, lab tests
demonstrated that CNT based cement composite can detect the mechanical stress levels for both static and dynamic
loads. In the FY10 project, the research was extended to cement mortar, which has much higher mechanical
strength and more useful in real applications. The effects of water level and CNT doping levels on the
piezoresistivity of the composites were also studied. Preliminary road tests were performed for the evaluation of
this new traffic sensor.
Department of Mechanical and Industrial Engineering, University of Minnesota Duluth; Northland Advanced Transportation Systems Research Laboratories, University of Minnesota Duluth
Intelligent Pavement for Traffic Flow Detection – Phase II.
Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota.
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