Smart Parking Area Management System for the Disabled using IoT and Mobile Application There are a lot of cases of nondisabled drivers regularly using spaces for people with disability. They often get away with it too unless an authority happens to check while their vehicle is parked there. This project presents a reservebased parking system in securing the parking spaces for the disabled. In this proposed system a special parking area for disabled will be introduced using current technology such as the internet of things (IoT), and mobile application as a Smart City concept initiatives. By using the reservation system and alarm system, violation of disabled parking system can be avoided. In order to separate normal people and disabled people, we use identification method by using NFC tag reader. After the successful identification process, the user can make a reservation and choose the disabled parking space with their mobile application. The system also uses an alarm system to warn the nondisabled person who wants to park in the disabled parking spot. The implementation of the system, expected to simplify the operations of parking systems, as well as improve the quality of life of the disabled person.

A Connected Carbased Parking Location Service System The number of vehicles is increasing rapidly, which results in finding a free parking spot as a prominent problem. Due to the increased number of cars, drivers have to hunt around the streets and parking facilities searching for free parking spots. Consequently, there are concerns about traffic congestion as well as time consumption, fuel wasting, and air quality degradation due to the emission of the fine dust at residential areas and shopping districts. To alleviate the problems, we propose a connected carbased onstreet parking location service system, in which the system consists of the parking space detection device (DD), the cloud server, and mobile application. Each of the cars in the system is equipped with a DD that acts as a mobile sensing unit (MSU). The proposed system is based on the concept of crowdsourcing; thus, each MSU is responsible for detecting the free parking location and transmitting the parkingrelated information (MSU id, MSU location, the width of detected free parking location) to the server through a wireless network. Later, a user (i.e., driver) can select a free parking location and navigate to its feasible parking location via a mobile application. However, when the system is unable to detect any free onstreet parking location, it suggests users about offstreet parking facilities near the useru0027s intended destination.