An Artificial Intelligence Approach to Enabled Smart Service Towards Futuristic Smart Cities

Abstract

The rapid development of information and communication technology (ICT)-based solutions in the field of smart city applications becomes essential to cope with the ever-increasing urbanization requirements globally. These ever-increasing demands pose a great challenge to city infrastructure, particularly smart cities, and thus a sustainable approach is needed for the future smart cities. The ever-increasing service demand of the smart city archetype is prone to monitoring and managing such constrained smart city infrastructures in an effective way and to maintain the QoS (smart applications like transportation, healthcare, road traffic, and other utility services). In this work, the authors envisioned improving the QoS of smart transportation while employing a context-aware computing approach that helps to alleviate fog node data transfer, and a distributed smart transport service (DSTS) model is proposed that manages intelligent vehicles and road traffic of the traditional vehicles in an effective way to improve the QoS of the smart city.