Smart city data analysis

Abstract

Smart City is one of the vital issues in the next coming years as it is estimated that more number of people will be migrating towards city and by 2040 cities is populated by 70% of the world's population. This will give raise to the city management problems like traffic congestion, parking queues, capacity planning and continuous depreciation in energy. Hence there is a need to understand the upcoming issues and find an efficient way to resolve them by resource planning. The evolution of city to Smart City demand information and communications technology (ICT) to gather data. The data is collected based on city infrastructure and conduct of people in the city. This big data is analyzed to make knowledgeable decisions to give quality of life to the citizens. It is referred as the evolution of intelligent city to the next generation city of information technology. ICT provides real time processing of data to gather useful information. Based on this information visual applications can be developed to have a more farsighted view of the Smart City. Online banking, online shopping and remote video communication are some of the applications of Smart City. As one of the concepts to improve city structure and its facilities, Smart City is vital in city management and development and uses information and communication technology (ICT) for city evolution and fast growth. These cities are planned to enhance more business and industrial growth thus increasing in economic development and raising living standard of the inhabitants [1]. It offers various facilities to the city like better transportation in the city, more job opportunities, less travelling time, healthy environment, better healthcare, less crime etc. Smart City is a concept which works with sensors and data analytics to enhance the standard and quality of life in the cities. Smart City deals with the challenges like traffic, parking, capacity planning, energy etc. and resolves them to provide better city facilities to their citizens [2]. ICT is becoming widespread in the cities and is being used as a tool to deal with Smart City application domains. Smart City is using big data to generate intelligent information systems which support decision making capabilities. With effective data sources and data analytics tool we can design high end services for the citizens in urban cities. Big data has changed the way we store data and process the data efficiently. Now this crucial data is not only used to get the historic trends information but also used to predict the future. It is significant in planning the future of the cities. Data is analyzed to develop action plans from the predicted results. In this paper, various datasets for traffic management and parking garage management have been tested and evaluated by using data analytics techniques in order to find a pattern in a historical information. Based on this research this information is further analyzed by machine learning tools and algorithms to predict the future behavior and help on taking decision. Machine learning and Analytics tools for Data Analytics from Hadoop and Elasticsearch environments as well as Mining algorithms from Python library are used for data prediction. This paper gives us the details of some domain applications of Smart City listed as below: • Smart City Traffic Management • Smart City Parking Management.