Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota
This project explored a new approach in detecting vehicles on a roadway by making a roadway section itself a
traffic flow detector. Sections of a given roadway are paved with carbon-nanotube (CNT)/cement composites; the
piezoresitive property of carbon nanotubes enables the composite to detect the traffic flow. Meanwhile, CNTs can
also work as the reinforcement elements to improve the strength and toughness of the concrete pavement. In
contrast to current traffic flow detection technologies that require separate devices to be installed either in the
pavement or over the road, the proposed sensing approach enables the pavement itself to detect traffic flow
parameters. Therefore, the proposed sensor is expected to have a long service life with little maintenance and
wide-area detection capability.
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 I.
Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota.
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