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Hub Map: a new approach for visualizing traffic data sets with multi-attribute link data

Simmons, Andrew, Avazpour, Iman, Vu, Hai L. and Vasa, Venkata Rajesh 2015, Hub Map: a new approach for visualizing traffic data sets with multi-attribute link data, in VL/HCC 2015 : Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, IEEE, Piscataway, N.J., pp. 219-223, doi: 10.1109/VLHCC.2015.7357220.

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Title Hub Map: a new approach for visualizing traffic data sets with multi-attribute link data
Author(s) Simmons, Andrew
Avazpour, ImanORCID iD for Avazpour, Iman orcid.org/0000-0002-0770-4751
Vu, Hai L.
Vasa, Venkata RajeshORCID iD for Vasa, Venkata Rajesh orcid.org/0000-0003-4805-1467
Conference name Visual Languages and Human-Centric Computing. IEEE Symposium (2015 : Atlanta, Georgia)
Conference location Atlanta, Georgia
Conference dates 2015/10/18 - 2015/10/22
Title of proceedings VL/HCC 2015 : Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing
Publication date 2015
Conference series IEEE Symposium on Visual Languages and Human-Centric Computing
Start page 219
End page 223
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Summary Visualizing road traffic datasets involves representing junctions, their links, and the attributes of those links. Current traffic visualization techniques are not sufficient for professional traffic engineers, as they are limited in the number of attributes that can be represented. This paper proposes a new approach to visualize multiple attributes on graph edges without compromising their visibility. In particular, we introduce a parameterized connector symbol that increases the number of attributes that can be displayed on graph edges. We demonstrate that our approach can significantly increase the number of traffic parameters that can be displayed compared to existing traffic visualizations.
ISBN 9781467374576
Language eng
DOI 10.1109/VLHCC.2015.7357220
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30084280

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.