Urban Computing: Enabling Intelligent Cities with AI and Big Data

Urban computing is a process of acquisition, integration, and analysis of big and heterogeneous data generated by a diversity of sources in cities to tackle urban challenges, e.g. air pollution, energy consumption and traffic congestion. Urban computing connects unobtrusive and ubiquitous sensing technologies, advanced data management and analytics models, and novel visualization methods, to create win-win-win solutions that improve urban environment, human life quality, and city operation systems. Urban computing is an inter-disciplinary field where computer science meets urban planning, transportation, economy, the environment, sociology, and energy, etc., in the context of urban spaces [1][2]. The vison of urban computing has been leading to better cities that matter to billions of people. Though the concept of urban computing has been proposed for a few years, there are still quite a few questions open. For example, what are the core research problems of urban computing? What are the challenges of the research theme? What are the key methodologies for urban computing? What are the representative applications in this domain, and how does an urban computing system work? Link to tutorial: http://uctutorial.chinacloudsites.cn/