The world is facing issues due to urbanization and industrialization. Urbanization and industrialization are causing a lot of carbon to be released into the air. This is really bad, for the environment. The environment is getting polluted because of urbanization and industrialization. Also urbanization and industrialization are making people need energy. The new technologies used in cities, such as Artificial Intelligence, Internet of Things, blockchain and deep learning are really good at monitoring the environment and reducing the amount of emissions. Many people have done research. Suggested using intelligent systems to control traffic manage energy monitor the emissions from vehicles check the air quality and manage renewable energy .Some studies have shown that machine learning algorithms, like Deep Q-Learning, Random Forest and Convolutional Neural Network can be used to process data about the environment and make monitoring more effective. Internet of Things-based sensors are also used to collect data in time from transportation networks, energy stations and environmental monitoring stations. However most of the solutions that're available only focus on one area of the environment and do not provide a complete framework to check and assess many environmental parameters at the same time. Some of the suggested systems can only be used in experiments or on a small scale. This paper reviews fifteen research studies on Artificial Intelligence-based emission monitoring, smart grid energy management, air quality prediction and blockchain-based mechanisms of tracking carbon emissions. The research also finds some gaps in the current research and suggests implementing a system that combines Artificial Intelligence and Internet of Things to facilitate sustainable monitoring of carbon emissions in smart cities. The research on Artificial Intelligence and Internet of Things can help make the monitoring of carbon emissions more sustainable, in cities.
Patel et al. (Thu,) studied this question.