Visual Analytics of Population Trajectory Data in Urban Environments

Abstract: With the prevalent GPS, Wi-Fi, Cellular, and RFID devices, population mobility information is collected as the moving trajectories of taxis, fleets, public transits, and mobile phones, by a variety of practitioners, such as transportation administrations, taxi companies, bike sharing companies, fleets, mobile service providers, and other relevant researchers. The data is widely utilized by domain researchers and practitioner of urban systems, environment, economy, and citizens to optimize urban planning, improve human life quality and environment, and amend city operations.

To extract profound insights from the data, domain users must conduct iterative, evolving information foraging and sense making and guide the process using their domain knowledge. Iterative visual exploration is one key component in the processing, which should be supported by efficient data management and visualization tools. Visual analytics techniques and systems are demanded to support effective visual analytics, which integrates scalable data management and interactive visualization with powerful computational capabilities.

In this workshop, attendees will gain knowledge about data processing and visualization of urban trajectory data including (1) big data representation, processing, indexing, and data queries; and (2) trajectory data visualization techniques. Moreover, they will learn how to implement web-based interactive visualization system with source codes and case studies of our open source TrajAnalytics software.

Bio: Ye Zhao is a professor in the Department of Computer Science at Kent State University, Ohio, USA. He has been working on computer graphics and visualization for more than 20 years. His current research interests include visual analytics of urban transportation data, multidimensional, text, and animated data visualization. He has published numerous refereed technical papers and served in many program committees of data visualization conferences. His work has been actively supported by NSF, including his recent work which develops several open source software for urban data processing, management, and visualization. Ye Zhao received his PhD degree in computer science from Stony Brook University and B.S./M.S. degrees from Tsinghua University.