Automated low-cost and real-time truck parking information system.

Details

• Creators:
  Haghani, Ali ; Farzinfard, Sina ; Hamedi, Masoud ; Ahdi, Farshad ; Khandani, Mehdi Kalantari
• Corporate Creators:
  University of Maryland (College Park, Md.)
• Subject/TRT Terms:
  • Trucks
  • Real time information
  • Parking facilities
  • Sensors
  • Wireless communication systems
  • Information dissemination
  • Data collection
  • Information processing
  • Magnetic detectors
  • User interfaces (Computer science)
• Publication/ Report Number:
  MD-13- SP209B4M
• Resource Type:
  Tech Report
• Geographical Coverage:
  Maryland
• Corporate Publisher:
  Maryland. State Highway Administration. Office of Policy & Research
• Abstract:
  In this project an automated real-time parking information system was developed to improve ; truck-parking safety through efficient gathering and disseminating information regarding the use ; of existing parking capacity. The system consists of four main components: sensing, data ; collection, data processing and user interface (UI). A pilot deployment was conducted on an ; SHA’s truck parking facility located on I-95 northbound prior to MD 32. During the testing period ; of January 6 through 14, 2013, 1,239 events were detected by the system. Each event refers to any ; truck arrival or departure activity in a spot. The average overall detection error was 3.75 percent ; and the maximum error was 5 percent. The error rate can potentially be reduced by using more ; sensors at each spot and using repeaters to avoid signal blockages. ; Unlike imagery based methods, magnetic truck detection is completely anonymous and thus ; privacy of drivers is not compromised. It is also independent of parking layout. In addition to ; providing real-time parking availability information to the truckers, analysis of historical data for ; each spot and for the parking facility as a whole can reveal dynamics of events and facilitate ; efficient operations.
  More +
• Format:
  PDF
• Funding:
  SP209B4M
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/26675/dot_26675_DS1.pdf
• File Type:
  [PDF - 7.12 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:b9ca0fea9eb96455ce78e1b5fddff3275a7f9d7537272da043735b22e4fcc330822e88f04f02902e70758dac0a0a2d1af17d6e51f1eafa249dea3ef7a6e4146e