iParking: A parking management framework

Abstract

In this work we have proposed a parking management framework that monitors vehicles driving in and out, calculates the number of available parking spaces, and finally disseminates the information to the parking's customers. For monitoring vehicles, we show our implementation of magnetic sensor network. The magnetic sensor is capable of collecting number of vehicle passing over the sensor, estimating vehicle's speed and length. The data is communicated over wired or wireless links to the server and is stored in the database for analysis and the number of available parking spaces can be displayed for customers before entering the parking garage. The dissemination of the information collected is through social network such as Twitter and Facebook. The test results show that the system yields a very accurate vehicle counting. The data obtained are consistent with the characteristics of drivers who access the parking facility. Analysis of data collected with our system is shown to provide useful information on which our future prediction of parking spaces will be based.

A Survey of Smart Parking Solutions

“…To improve smart parking system intelligence, a Multi-Agent System is used and modeled in MOISE 11 . iParking [113] is a smart parking system that collects sensing information and then shows the current occupancy status through a social network, Twitter. KATHODIGOS [100] proposed a central parking information system integrating two different heterogeneous sensor networks, namely wireless networked magnetometers and wired cameras.…”

Design and Construction of an Authorized Car Parking Alert System

“…The simplest kind of rectifier circuit is the half-wave rectifier. It only allows one half of an AC waveform to pass through to the load [31].…”

Design of Parking Guidance System Based on Stackelberg Game

“…In terms of theoretical research of parking guidance system, Sonqphon and Ronachai proposes a parking space monitoring management framework, with the function of idle parking prediction [2]; Ahmed Yousef and Ganesh Kumar introduced V2G intelligent scheduling technology into parking lot, studied the PSO optimal path algorithm and improved the efficiency of parking guidance [3], Lei Peng proposed a cost-effective parking space searching method by predicting with time-varying analysis of historical data [4].…”