Urban computing[1] is a process of acquisition, integration, and analysis of big and heterogeneous data[2] generated by a diversity of sources in urban spaces, such as sensors, devices, vehicles, buildings, and human, to tackle the major issues that cities face, e.g., air pollution, increased 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 also helps us understand the nature of urban phenomena and even predict the future of cities. Urban computing is an interdisciplinary field fusing the computing science with traditional fields, like transportation, civil engineering, economy, ecology, and sociology, in the context of urban spaces.
Topics of interest include, but not limited to, the following aspects :
Data mining for urban planning and city configuration evaluation
Mining urban environmental, pollution, and ecological data
Knowledge discovery from sensor data for saving energy and resources
Data mining for sustainable and intelligent cities
Urban sensing and city dynamics sensing
Knowledge fusion from data across different domains
City-wide traffic modeling, visualization, analysis, and prediction
City-wide human mobility modeling, visualization, and understanding
City-wide intelligent transportation systems
Anomaly detection and event discovery in urban areas
Mining urban economics
Social behavior modeling, understanding, and patterns mining in urban spaces
City-wide mobile social applications in urban areas
Location-based social networks enabling urban computing scenarios
Smart recommendations in urban spaces
Intelligent delivery services and logistics industries in cities
Mining data from the Internet of Things in urban areas
Managing urban big data on the cloud
Interactive visual data analytics for urban computing
08月14日
2017
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