“iParking” – Smart way to Automate the Management of the Parking System for a Smart City

Abstract

An efficient and effective smart outdoor parking system is a crucial need with the rapid development of the economy and the improvement of smart city modernization level, traffic and parking have become serious problems due to the explosive growth of the capital number of vehicles. This research will propose proper management for outdoor parking issues with an efficient solution for parking slots availability and occupancy detection using a classification approach and providing real time environment positioning accurate enhancement approach for global positioning system using map matching algorithm to classify vehicle direction on the road with the high precision location. The image processing technology is used to identify a vehicle's license plate and activate access control systems for automatic gate access to authorized members. The proposed system can provide information on promotions for a target audience on a screen where all consumers can view while using the parking facility with the use of machine learning algorithms, this will help to enhance the market value of the proposed system.