Visual Analysis of Multivariate Urban Traffic Data Resorting to Local Principal Curves (Unknown language)

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Traffic congestion causes major economic, environmental and social problems in modern cities. We present an interactive visualization tool to assist domain experts on the identification and analysis of traffic patterns at a city scale making use of multivariate empirical urban data and fundamental diagrams. The proposed method combines visualization techniques with an improved local principle curves method to model traffic dynamics and facilitate comparison of traffic patterns - resorting to the fitted curve with a confidence interval - between different road segments and for different external conditions. We demonstrate the proposed technique in an illustrative real-world case study in the city of Porto, Portugal.

Table of contents conference proceedings

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1
On KDE-based Brushing in Scatterplots and how it Compares to CNN-based Brushing
Fan, Chaoran / Hauser, Helwig | 2019
7
Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications
Janik, Adrianna / Sankaran, Kris / Ortiz, Anthony | 2019
13
Visual Analysis of Multivariate Urban Traffic Data Resorting to Local Principal Curves
Silva, Carla / d'Orey, Pedro M. / Aguiar, Ana | 2019
19
Visual Ensemble Analysis to Study the Influence of Hyper-parameters on Training Deep Neural Networks
Hamid, Sagad / Derstroff, Adrian / Klemm, Sören / Ngo, Quynh Quang / Jiang, Xiaoyi / Linsen, Lars | 2019
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