Length based vehicle classification on freeways from single loop detectors.

Details

• Creators:
  Coifman, Benjamin
• Corporate Creators:
  NEXTRANS Center (U.S.) ; Ohio State University
• Corporate Contributors:
  United States. Department of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Vehicle classification
  • Vehicle detectors
  • Mathematical models
  • Vehicles--Classification--Mathematical models
  • Vehicle detectors--Mathematical models
• Publication/ Report Number:
  003OY01
• Resource Type:
  Tech Report
• Geographical Coverage:
  Indiana
• Corporate Publisher:
  NEXTRANS Center (U.S.)
• Abstract:
  Roadway usage, particularly by large vehicles, is one of the fundamental factors determining the lifespan ; of highway infrastructure, e.g., as evidenced by the federally mandated Highway Performance ; Monitoring System (HPMS). But the complexity of Weigh in Motion (WIM) and other classification ; stations makes them difficult and costly to maintain. Some of the classification stations employ axle ; counters, but the least expensive of these stations use dual loop detectors to measure vehicle length ; and classify vehicles based on this measurement. To date, collecting reliable length data from single loop ; detectors has been considered impossible due to the noisy speed estimates. Single loop detectors ; promise to be an inexpensive alternative to spread classification coverage to the existing count stations ; and existing traffic operations detector stations. By extending classification to the relatively high density ; of real time traffic monitoring stations in urban areas, the classification work could allow these urban ; traffic management systems to better monitor freight traffic within the metropolitan areas. ; The research seeks to develop a means to reliably classify vehicles using estimated vehicle length from ; single loop detectors. Single loop detectors are the most common vehicle detector, yet they are not ; used for vehicle classification due to the inherent noise in the individual vehicle length estimates. This ; work has developed a means to extract more reliable vehicle speed estimates from single loop ; detectors, and thus, vehicle length estimates as well. This new, reliable, single loop detector ; methodology for classifying vehicles based on estimated vehicle length is significant because it will ; provide a low cost means of collecting vehicle classification data by extending the capabilities of existing ; single loop detectors. There are thousands of single loop detectors on the freeways within the region ; served by NEXTRANS.
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• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/17343/dot_17343_DS1.pdf
• File Type:
  [PDF - 4.49 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:5f086df61091366bfa09e56d0c2ca209980df5132599df3cab9fe40607c9d320