A new “Smart Parking” System Infrastructure and Implementation

This paper proposes a new “smart parking” system for an urban environment. The system assigns and reserves an optimal parking space for a driver based on the user's requirements that combine proximity to destination and parking cost, while also ensuring that the overall parking capacity is efficiently utilized. The approach solves a Mixed Integer Linear Program (MILP) problem at each decision point in a time-driven sequence. The solution of each MILP is an optimal allocation based on current state information and subject to random events such as new user requests or parking spaces becoming available. The allocation is updated at the next decision point ensuring that there is no resource reservation conflict and that no user is ever assigned a resource with higher than the current cost function value. Implementation issues including parking detection, reservation guarantee and Vehicle-to-Infrastructure (V2I) or Infrastructure-to-Vehicle (I2 V) communication are resolved in the paper. This system can save driver time, fuel and expense, while reducing the traffic congestion and environment pollution. A deployment and testing pilot study of the system in a garage at Boston University is also described.

• Record URL:
  https://doi.org/10.1016/j.sbspro.2012.09.842
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877042812043042
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Geng, Yanfeng
  • Cassandras, Christos G
• Conference:
  • 15th Meeting of the EURO Working Group on Transportation
  • Location: Paris , France
  • Date: 2012-9-10 to 2012-9-13
• Publication Date: 2012-10-4

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References;
• Pagination: pp 1278-1287
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 54
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0428
  • Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Implementation; Mixed integer programming; Parking; Parking demand; Parking guidance systems; Pilot studies; Urban areas
• Geographic Terms: Boston (Massachusetts)
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01487076
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 18 2013 1:49PM