Commercial truck parking detection technology evaluation for Columbia County rest areas.

Details

• Alternative Title:
  Deliverable #3 (final report) to the Florida Department of Transportation Research Office ; on project commercial truck parking detection technology evaluation for Columbia County rest areas.
• Creators:
  Washburn, Scott S. ; Sun, Wei ; Stoop, Ethan
• Corporate Creators:
  University of Florida. Transportation Institute
• Corporate Contributors:
  Florida. Department of Transportation
• Subject/TRT Terms:
  • Roadside rest areas
  • Parking facilities
  • Vehicle detectors
  • Trucks Commercial truck parking
  • parking detection technology
• Resource Type:
  Tech Report
• Geographical Coverage:
  Florida
• Corporate Publisher:
  Florida Department of Transportation
• Abstract:
  Rest areas along Florida’s interstate routes are heavily utilized by commercial trucks for overnight parking. ; Many of the rest areas regularly experience 100% utilization of the commercial truck parking spaces ; during the evening and early morning hours. ; The objective of this project was to evaluate three different vehicle detection technologies ; (SENSIT, Sensys, and CivicSmart) as applied to commercial truck parking areas of interstate rest areas. ; This evaluation addresses several aspects: (1) the accuracy of the vehicle detection in parking spaces, (2) ; cost of the technology (not included in this report for confidentiality reasons), (3) installation, setup, and ; maintenance of technology, (4) sensor output integration with SunGuide® software, and (5) sensor ; durability (to the extent this was possible over the relatively short duration of this project). ; The research team recorded video of the rest areas as the ground-truth data and compared the video ; data with the parking sensor data. Two accuracy tests (event accuracy and occupancy accuracy) were ; conducted to evaluate each sensor’s ability to correctly reflect the status of each parking space. Overall, it ; was found that all three technologies performed well, with accuracy rates of 95% or better for both tests.
  More +
• Format:
  PDF
• Funding:
  Contract #: BDV31-977-56
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/31706/dot_31706_DS1.pdf
• File Type:
  [PDF - 3.26 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:025675e06fb5c546e8f0b8e636c83c1862b7d2aea34333451f3f675a776225f9ca2af375ab1e4311fdea86e091398c3b9f589f27ce5ce8c1e540c715d1f9a349