Parking Sensing and Information System: Sensors, Deployment, and Evaluation

This paper describes a smart parking sensing and information system that disseminates parking availability information to public users in a cost-effective and efficient manner. The hardware framework of the system is built on advanced wireless sensor networks and cloud service over the Internet, and the system is highly scalable. The parking information provided to the users is set in the form of occupancy rates and expected cruising time. Both are obtained from an analytical algorithm that processes historical and real-time data and are then visualized in a color theme. The entire parking system is deployed and extensively evaluated at Stanford University, California, Parking Structure 1.

• Record URL:
  https://doi.org/10.3141/2559-10
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309441353
• Authors:
  • Chen, Xiao
  • Qian, Zhen (Sean)
  • Rajagopal, Ram
  • Stiers, Todd
  • Flores, Christopher
  • Kavaler, Robert
  • Williams III, Floyd
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Photos; References; Tables;
• Pagination: pp 81–89
• Monograph Title: Intelligent Transportation Systems and Connected and Automated Vehicles
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2559
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Evaluation and assessment; Information systems; Parking; Parking guidance systems; Sensors
• Identifier Terms: Stanford University
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01594156
• Record Type: Publication
• ISBN: 9780309441353
• Report/Paper Numbers: 16-6821
• Files: TRIS, TRB, ATRI
• Created Date: Mar 21 2016 4:42PM