Increasing accuracy of vehicle detection from conventional vehicle detectors - counts, speeds, classification, and travel time.

Details

• Creators:
  Coifman, Benjamin ; Wu, Lan ; Wei, Heng
• Corporate Creators:
  NEXTRANS Center (U.S.)
• Corporate Contributors:
  United States. Dept. of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Vehicle detectors
  • Traffic counts
  • Traffic speed
  • Vehicle classification
  • Travel time
  • Transportation planning
  • Vehicle length
  • Loop detectors
  • Acceleration (Mechanics)
  • Traffic congestion
• Publication/ Report Number:
  Project No. 092OY04
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  NEXTRANS Center (U.S.)
• Abstract:
  Vehicle classification is an important traffic parameter for transportation planning and infrastructure ; management. Length-based vehicle classification from dual loop detectors is among the lowest cost ; technologies commonly used for collecting these data. Like many vehicle classification technologies, the ; dual loop approach works well in free flow traffic. Effective vehicle lengths are measured from the ; quotient of the detector dwell time and vehicle traversal time between the paired loops. This approach ; implicitly assumes that vehicle acceleration is negligible, but unfortunately at low speeds this ; assumption is invalid and length-based classification performance degrades in congestion.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28158/dot_28158_DS1.pdf
• File Type:
  [PDF - 2.32 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:3b0e3e6291237cfa04192dd53c314d2ad8dbf79f4e67b8baa9541d5fecb4df63