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Intelligent Pavement for Traffic Flow Detection – Phase I
Yu, Xun (Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota, 2012)
 

Title 
Intelligent Pavement for Traffic Flow Detection – Phase I

Author(s)

Issue Date
2012-09

Publisher
Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota

Type
Report

Abstract
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.

Appears in Collection(s)

Series/Report Number
CTS 12-29

Sponsorship
Department of Mechanical and Industrial Engineering, University of Minnesota Duluth; Northland Advanced Transportation Systems Research Laboratories, University of Minnesota Duluth

Suggested Citation
Yu, Xun. (2012). Intelligent Pavement for Traffic Flow Detection – Phase I. Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota. Retrieved from the University of Minnesota Digital Conservancy, http://purl.umn.edu/135746.


Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.