For access to this article, please select a purchase option:
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Your recommendation has been sent to your librarian.
The Internet of Things (IoT) has become a very commonly used term in our daily life in a very broad manner, yet its definition remains to be specific to the connection of unordinary devices such as fridges and drones etc. to the internet creating an ecosystem with various applications (Meola, 2018), interconnecting them and providing multi-functional and innovative solutions. The IoT applications have been in constant development in recent years, making it very difficult to find an industry that had zero influences from IoT solutions.
A few examples include: Smart Homes, which can be derived from its name as many different devices that are commonly found in your home such as, fridge and lights, are all connected to the internet and can be easily accessed through your phone.
Furthermore, although smart parking systems currently exist, however most of them have minimal features, such as if the park is occupied or free. As such, a smarter parking system could be developed by developing an IoT system (Al-Hamami, 2017).
The proposed Smart Parking System in this research is an addition on existing smart parking systems by introducing actual smart features, such as preventing drivers to hit-and-run, occupying multiple parking spaces and parking in spaces for people with special needs.
A prototype has been developed using Raspberry Pi 3, Sensors and Python language, to prove the concept successfully. The prototype is now able to react and interact differently in each different situation and creating a new open environment for parking system where many custom enhancements and developments can be integrated easily.
A survey was also conducted to identify the possible problems of a typical parking lots especially in major shopping malls. This research will ultimately ease the parking not only for users but also for the shop owners by making parking management easier to manage and control.
Inspec keywords: Internet of Things; Python; traffic engineering computing; sensors; road traffic
Subjects: Mobile, ubiquitous and pervasive computing; Traffic engineering computing