QuteVis: Visually Studying Transportation Patterns Using Multisketch Query of Joint Traffic Situations

Document Type

Article

Publication Date

3-1-2021

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.

Identifier

85064693919 (Scopus)

Publication Title

IEEE Computer Graphics and Applications

External Full Text Location

https://doi.org/10.1109/MCG.2019.2911230

e-ISSN

15581756

ISSN

02721716

PubMed ID

30990422

First Page

35

Last Page

48

Issue

2

Volume

41

Grant

1535031

Fund Ref

National Science Foundation

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