Mining vehicle classifications from the Columbus Metropolitan Freeway Management System : [summary].

Details

• Creators:
  Coifman, Benjamin ; Huang, Bo ; Redmill, Keith ; Wu, Mo
• Corporate Creators:
  Ohio State University
• Subject/TRT Terms:
  Data Mining Freeway Management Systems Loop Detectors Traffic Data Traffic Surveillance Vehicle Classification
• Publication/ Report Number:
  FHWA/OH-2015/1
• Resource Type:
  Brief
• Geographical Coverage:
  Ohio
• Corporate Publisher:
  Ohio. Dept. of Transportation. Research Section
• Abstract:
  Vehicle classification data are used in many transportation applications, including: pavement design,
  
  environmental impact studies, traffic control, and traffic safety. Ohio has over 200 permanent count
  
  stations, supplemented by many more short-term count locations. Due to the high costs involved, the
  
  density of monitoring stations is very low given the lane miles that are covered. This study leveraged the
  
  deployed detectors in the Columbus Metropolitan Freeway Management System (CMFMS) to collect and
  
  analyze classification data from critical freeways where the Traffic Monitoring Section has not been able
  
  to collect much classification data in the past due to site limitations.
  
  The CMFMS was designed for real time traffic monitoring. It was deployed in an unconventional manner
  
  because it included an extensive fiber optic network, frontloading most of the communications costs, and
  
  rather than aggregating the data in the field, the detector stations sent all of the individual per-vehicle
  
  actuations (i.e., PVR data) to the traffic management center (TMC). The PVR data include the turn-on
  
  and turn-off time for every actuation at each detector at the given station. Our group has collected and
  
  archived all of the PVR data from the CMFMS for roughly a decade. The PVR data allows us to reprocess
  
  the original actuations retroactively. As described in the report, the research undertook extensive
  
  diagnostics and cleaning to extract the vehicle classification data from detectors originally deployed for
  
  traffic operations.
  
  
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:cc9ec0087797b4a497b03f958493526362a43529523b7c364286cdd50d9f3cf17b381731d18da0fdcc5d3d68a392046ac626bb6a7320388ba3ec62e8ad9e9404
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28777/dot_28777_DS1.pdf
• File Type:
  [PDF - 482.60 KB ]