Smart Parking

A systems engineering approach is adopted to develop and analyze a viable crowdsourced parking information approach which is enabled by vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) (V2X) communications. The first step in the systems engineering process is understanding the needs of the relevant stakeholders and ascertaining the functional requirements of the crowdsourcing approach. To that end, the authors have conducted an extensive stakeholder assessment. The goal of the stakeholder assessment is to identify the salient parking challenges in the city and to illicit the role of a technology solution to address these challenges. Next, the authors present a study of the effectiveness of the information currently provided by ParkPGH.org. 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 within downtown Pittsburgh. Any decentralized crowdsourced scheme in Pittsburgh needs to build on the centralized ParkPGH.org system. So it is imperative to establish the effectiveness of centralized systems, such as ParkPGH. Next, the authors also present a study that establishes the effectiveness of price changes to decrease cruising for parking in San Francisco. Finally, the authors combine the stakeholder analysis, the information and pricing studies, to develop an algorithm and simulation of a crowdsourced parking information system. The major findings from each of these 4 steps in the systems engineering process are described and the text of the four studies is included in their entirety in the appendix of this report.

• Record URL:
  • http://utc.ices.cmu.edu/utc/CMU%20Reports%202013%202/UTC_FinalReport_Smart_Parking_Hampshire.pdf
• 
• Summary URL:
  • http://utc.ices.cmu.edu/utc/projectitem.asp?ID=50
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Technologies for Safe and Efficient Transportation University Transportation Center

  Carnegie Mellon University
  Pittsburgh, PA  United States  15213

  Research and Innovative Technology Administration

  University Transportation Centers Program
  Washington, DC  United States  20590
• Authors:
  • Hampshire, Robert C
  • Jordon, Daniel
  • Sasanuma, Kats
• Publication Date: 2014

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: 114p

Subject/Index Terms

• TRT Terms: Algorithms; Crowdsourcing; Mobile communication systems; Parking; Prices; Real time information; Simulation; Stakeholders; Systems engineering
• Geographic Terms: Pittsburgh (Pennsylvania); San Francisco (California)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01666088
• Record Type: Publication
• Contract Numbers: DTRT12-G-UTC11
• Files: UTC, TRIS, RITA, ATRI, USDOT
• Created Date: Apr 16 2018 11:20AM