Mining vehicle classifications from the Columbus Metropolitan Freeway Management System.

Details

• Creators:
  Coifman, Benjamin ; Huang, Bo ; Redmill, Keith ; Wu, Mo
• Corporate Creators:
  Ohio State University
• Corporate Contributors:
  United States. Federal Highway Administration
• Subject/TRT Terms:
  • Vehicle classification
  • Freeway management systems
  • Loop detectors
  • Traffic surveillance
  • Data mining
  • Traffic data
• Publication/ Report Number:
  FHWA/OH-2015/1
• Resource Type:
  Tech Report
• Geographical Coverage:
  Ohio
• Corporate Publisher:
  Ohio. Department of Transportation. Office of Statewide Planning and Research
• 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 still 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 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 this report, the research undertook extensive diagnostics and cleaning to extract ; the vehicle classification data from detectors originally deployed for traffic operations. ; The work yielded length based vehicle classification data from roughly 40 bi-directional miles of urban ; freeways in Columbus, Ohio over a continuous monitoring period of up to 10 years. The facilities span I-70, I- ; 71, I-270, I-670, and SR-315, including the heavily congested inner-belt. Prior to this study, these facilities ; previously had either gone completely unmonitored or were only subject to infrequent, short-term counts.
  More +
• Format:
  PDF
• Funding:
  State Job Number 134696
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28778/dot_28778_DS1.pdf
• File Type:
  [PDF - 7.35 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:da2cf15f1ca973a21568932924531d61108e28eb0f0dbea86d2ed4186dc84a828c4eb1d167beffd693eb84730701d3cab0114b71dbe850a648dcd9493a78f399