A Predictive Model and Evaluation Framework for Smart Parking: The Case of ParkPGH

ParkPGH is a smart parking system that uses historical parking and event data in a prediction model to provide real-time information on the availability of parking in eight parking facilities within the Pittsburgh Cultural District. The project’s unique characteristics include the collaborative efforts of funders, academia, nonprofit and for-profit entities that are involved in the project, the environment in which the product is deployed and the richness of the data from which the prediction model and the robust evaluation strategy draw upon. The paper describes the pilot phase of the project along with preliminary results, as well as the next steps to be taken for a full project implementation.

• Availability:
  • Find a library where document is available. Order URL: http://itswc.confex.com/itswc/WC2011/webprogram/start.html
• Supplemental Notes:
  • Abstract reprinted with permission from Intelligent Transportation Society of America.
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Fabusuyi, Tayo
  • Hampshire, Robert C
  • Hill, Victoria
  • Sasanuma, Katsunobu
• Conference:
  • 18th ITS World Congress
  • Location: Orlando Florida, United States
  • Date: 2011-10-16 to 2011-10-20
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 14p
• Monograph Title: 18th ITS World Congress, Orlando, 2011. Proceedings

Subject/Index Terms

• TRT Terms: Case studies; Central business districts; Mathematical prediction; Parking demand; Parking facilities; Real time information
• Geographic Terms: Pittsburgh (Pennsylvania)
• Subject Areas: Highways; Operations and Traffic Management; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01449247
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 16 2012 8:56AM