Commercial motor vehicle parking trends at rest areas and weigh stations.

Details

• Creators:
  Bayraktar, Mehmet Emre ; Zhu, Yimin ; Arif, Farrukh
• Corporate Creators:
  Florida International University
• Subject/TRT Terms:
  • Commercial vehicles
  • Roadside rest areas
  • Weigh stations
  • Parking facilities
  • Trucks
  • Vehicle detectors
  • Data collection
  • Pilot studies Roadside rest areas
  • Parking facilities
  • Trucks
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• Resource Type:
  Tech Report
• Geographical Coverage:
  Florida
• Edition:
  Final report.
• Corporate Publisher:
  Florida Department of Transportation
• Abstract:
  The major objectives of this research included: i) to determine trends for truck parking at public rest areas ; throughout Florida and ii) to develop a suitable smart parking management system for commercial motor ; vehicles and conduct a pilot project. The data collection efforts over the course of this research enabled the ; research team to determine the level of truck parking capacity problem experienced at each rest area in ; Florida. This information was used to divide the rest areas into three categories, low, medium, and high, ; based on the “level of truck parking capacity problem,” and depicted the rest areas on a color-coded map for ; I-10, I-75, and I-95; green was used for a low parking capacity problem, yellow for a medium parking ; capacity problem, and red for a high parking capacity problem. This research also included an assessment of ; technology that can be used to improve truck parking management at rest areas in Florida and deployment of ; a pilot project to test implementation. The vehicle detection technology chosen for the pilot project at the ; Leon County rest areas (eastbound and westbound) on I-10 features wireless ground sensors, which detect ; the presence of a vehicle as it comes to a stop above it. Over the course of this research, various software ; tools were developed to complement the wireless vehicle detection system described above, including a GIS ; mapping application, a report generation module, and an occupancy prediction model.
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• Format:
  PDF
• Funding:
  BDK80 977-14
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/25503/dot_25503_DS1.pdf
• File Type:
  [PDF - 6.51 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:bd2f6668a0ee368cbd5158163da788136f5ff85c5c2cb1bfaccd7a7397f6211ff5bc01b4a03eb086fac43a346b3cc3e93c9bae5ea7edba996feb5518666acb4d