QuteVis: Visually Studying Transportation Patterns Using Multi-Sketch Query of Joint Traffic Situations

Shamal AL-Dohuki, Ye Zhao, Farah Kamw, Jing Yang, Xinyue Ye, Wei Chen

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View presentation:2021-10-27T17:30:00ZGMT-0600Change your timezone on the schedule page
2021-10-27T17:30:00Z
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Abstract

QuteVis uses multisketch query and visualization to discover specific times and days in history with specified joint traffic patterns at different city locations. Users can use touch input devices to define, edit, and modify multiple sketches on a city map. A set of visualizations and interactions is provided to help users browse and compare retrieved traffic situations and discover potential influential factors. QuteVis is built upon a transport database that integrates heterogeneous data sources with an optimized spatial indexing and weighted similarity computation. An evaluation with real-world data and domain experts demonstrates that QuteVis is useful in urban transportation applications in modern cities.