Video Vehicle Detector Verification System (V2DVS) operators manual and project final report.

Details

• Alternative Title:
  Upgrade the Video Vehicle Detector Verification System (V2DVS ; Video Vehicle Detector Verification System (V2DVS) operator's manual and project final report
• Creators:
  MacCarley, Art
• Corporate Creators:
  California Polytechnic State University, San Luis Obispo. Dept. of Electrical and Computer Engineering
• Subject/TRT Terms:
  • Vehicle detectors
  • Design and construction
• Publication/ Report Number:
  CA12-1726
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  California. Dept. of Transportation. Division of Research and Innovation
• Abstract:
  The accurate detection of the presence, speed and/or length of vehicles on roadways is recognized as critical for ; effective roadway congestion management and safety. Vehicle presence sensors are commonly used for traffic ; volume measurement and control of signalized intersections and ramp meters. In addition, vehicle speed, either ; measured directly from a “speed trap” or estimated based on vehicle length, and classification from length are ; important for automated incident detection and the characterization and prediction of traffic demand. ; The market has recently seen an increasing number of out-of-pavement and wireless in-pavement detection ; systems. These systems are easier to install and maintain than conventional inductive loop detectors, but there ; is evidence from pilot installations, however anecdotal, that they have different detection characteristics and can ; yield different results. Due to situations including lane-changing, high ground clearance, trailers and occlusion, ; detectors will occasionally fail to detect, falsely detect or multiply detect individual vehicles. These errors tend to ; cancel each other when detection data is aggregated into bins, as in common practice. Non-aggregated (i.e. ; individual vehicle) data is needed on how these detectors perform in different situations in order to optimally ; specify equipment for certain detection requirements and environments. There was previously no way to compile ; individual detection data or quantify detection errors without manually comparing each individual detection event ; record to video ground-truth, which is a labor-intensive process that is practically impossible for large datasets. ; Selected out-of-pavement and wireless in-pavement detection systems, along with duplex inductive loop ; detectors, are installed on Route 405 in the city of Irvine to detect the passage of each northbound vehicle. ; Installed at the same site is the Video Vehicle Detector Verification System (V2DVS) that automates the ; collection and accuracy assessment of output data from all detectors under test.
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• Format:
  PDF
• Funding:
  IA 65A0274
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/27710/dot_27710_DS1.pdf
• File Type:
  [PDF - 6.65 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:8981b29faf14b1e08fe77262cd1d1fad3b0b05a143a63df2f61d2b5577446324