Car Parking Systems through Fog Computing Architecture - An Event-Driven Approach

The automotive industry is seeing rapid growth as a result of an increase in the number of vehicles, as never seen before. This is leading to several issues, like traffic jams, more time spent commuting between places, environmental issues, and excessive fuel consumption. A number of the studies have offered suggestions on smart parking solutions that leverage the cloud infrastructure side. In the urban infrastructure the integration of Internet of Things (IoT) technologies has led to the development of smart parking systems that help to optimize resource management, minimize the amount of congestion and enhance user experiences. In this study, an effort has been made to look into the implementation of event driven architecture (EDA) within the smart car parking systems focusing on the benefits of responsiveness, efficiency and scalability as well. It also explores how EDA can help the operational capability of smart parking solutions making them more user friendly and effective. Undertaking a detailed examination of the system components, real work applications, workflows this paper brings up a needed case for the adoption in smart car parking systems an event driven approach. The results evaluated show that the event driven approach in network usage in the fog computing approach resulted in a 15-20% improvement in the overall performance of the system by reducing network consumption of edge devices.