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IParker-A New Smart Car-Parking System Based on Dynamic Resource Allocation and Pricing

  • Amir O. Kotb
  • , Yao Chun Shen
  • , Xu Zhu
  • , Yi Huang
  • University of Liverpool

Research output: Contribution to journalArticlepeer-review

Abstract

Parking in major cities, particularly with dense traffic, directly effects the traffic flow and people's life. In this paper, we introduce a new smart parking system that is based on intelligent resource allocation, reservation, and pricing. The proposed system solves the current parking problems by offering guaranteed parking reservations with the lowest possible cost and searching time for drivers and the highest revenue and resource utilization for parking managers. New fair pricing policies are also proposed that can be implemented in practice. The new system is based on mathematical modeling using mixed-integer linear programming (MILP) with the objective of minimizing the total monetary cost for the drivers and maximizing the utilization of parking resources.

Original languageEnglish
Article number7465828
Pages (from-to)2637-2647
Number of pages11
JournalIEEE Transactions on Intelligent Transportation Systems
Volume17
Issue number9
DOIs
StatePublished - Sep 2016
Externally publishedYes

Keywords

  • Dynamic pricing
  • dynamic resource allocation
  • mixed integer linear programming (MILP)
  • reservation
  • smart car parking

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