Title
Route-Aware Edge Bundling for Visualizing Origin-Destination Trails in Urban Traffic.
Abstract
Origin-destination (OD) trails describe movements across space. Typical visualizations thereof use either straight lines or plot the actual trajectories. To reduce clutter inherent to visualizing large OD datasets, bundling methods can be used. Yet, bundling OD trails in urban traffic data remains challenging. Two specific reasons hereof are the constraints implied by the underlying road network and the difficulty of finding good bundling settings. To cope with these issues, we propose a new approach called Route Aware Edge Bundling (RAEB). To handle road constraints, we first generate a hierarchical model of the road-and-trajectory data. Next, we derive optimal bundling parameters, including kernel size and number of iterations, for a user-selected level of detail of this model, thereby allowing users to explicitly trade off simplification vs accuracy. We demonstrate the added value of RAEB compared to state-of-the-art trail bundling methods on both synthetic and real-world traffic data for tasks that include the preservation of road network topology and the support of multiscale exploration.
Year
DOI
Venue
2019
10.1111/cgf.13712
COMPUTER GRAPHICS FORUM
Field
DocType
Volume
Computer science,Theoretical computer science,Multimedia
Journal
38.0
Issue
ISSN
Citations 
3.0
0167-7055
4
PageRank 
References 
Authors
0.38
0
4
Name
Order
Citations
PageRank
Wei Zeng1777.42
Qiaomu Shen2473.44
Y. Jiang340.38
A. Telea440.38