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

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.Index Terms-Dynamic pricing, dynamic resource allocation, mixed integer linear programming (MILP), reservation, smart car parking.

A Survey of Smart Parking Solutions

“…Doulaims et al [187] improved smart parking reservation policies by using maximal interval scheduling and dynamic pricing. iParker [175] proposed a mathematical optimization model while using dynamic pricing for smart parking. The objective of this model is to minimize drivers' total monetary cost while maximizing parking resources use.…”

Smart Parking: A Literature Review from the Technological Perspective

“…Likewise, in [46], a similar system is described, where the user is in charge of selecting the parking lot to reserve from a list of available spaces. Moreover, in other solutions these parking slots can be reserved with days of anticipation or if the user requests it, they can keep changing as long as a better one is found based on the user requirements as shown in [80].…”

Plataforma Modular Reconfigurable como Nueva Filosofía para el Desarrollo de Electrónica Vehicular Actualizable

“…En Godoy et al (2013) se propone una red auxiliar V2X para la mejora de varias funciones en carretera. En Kotb et al (2016) se desarrolla un servicio de parking conectado. En Kim et al (2015) se realiza un análisis de la movilidad ITS en Corea del Sur con conclusiones similares a Doecke et al (2015) en dónde se comprueba que la inclusión de una realimentación del estado de la red de vehículos conectados mejora el funcionamiento de un sistema de frenado automático.…”