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

Kotb, Amir O, Shen, Yao-Chun ORCID: 0000-0002-8915-1993, Zhu, Xu ORCID: 0000-0002-7371-4595 and Huang, Yi ORCID: 0000-0001-7774-1024 (2016) iParker-A New Smart Car-Parking System Based on Dynamic Resource Allocation and Pricing. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 17 (9). pp. 2637-2647.

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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.

Item Type:	Article
Uncontrolled Keywords:	Dynamic pricing, dynamic resource allocation, mixed integer linear programming (MILP), reservation, smart car parking
Depositing User:	Symplectic Admin
Date Deposited:	20 Sep 2016 13:58
Last Modified:	15 Mar 2024 10:18
DOI:	10.1109/TITS.2016.2531636
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3003393