An Analysis of Smart City Management Systems Based on the Internet of Things and Machine Learning

The rapidity’s in the evolution of the concept of Smart city depend on the advancement of the Internet of Things (IoT) and Machine Learning (ML) technologies. With introduction of the technologies, urban management is evolving to offer real time information gathering, automations and high degree of analytics to create efficiency, sustainability and livelihood of urban regions. The infrastructure through the assistance of the IoT, smart devices and smart sensors is quite crucial to track the systems in the city such as traffic, waste management, energy consumption, and air quality. The development of Algorithms by use of Machine Learning can aid in enhancing the forming of an urban development, a resource allocation, and services to the people because of the terrific amounts of information which will be produced because of the IoT gadgets. The given paper is a broad survey of the paths, by which the technologies of IoT and ML find their application in the management plans of the smart cities, as the ways of their potential application in the fields of the urban planning and administration of the urban infrastructure, as well as urban services. The overview contains the details on the principle benefits, weaknesses and limitations associated with the deployment of such technologies in the courses of the cities. It, also, explores trends of development of smart cities in the future, particularly the evolutions toward the sustainable building of cities and technology. Facilitated by the current research and life application, the paper suggests the potential quality of the IoT and ML to create more effective, comfortable, and sustainable urban environments