File(s) under permanent embargo

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

conference contribution
posted on 01.10.2015, 00:00 authored by Andrew Simmons, Iman Avazpour, H L Vu, Rajesh VasaRajesh Vasa
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.

History

Event

Visual Languages and Human-Centric Computing. IEEE Symposium (2015 : Atlanta, Georgia)

Pagination

219 - 223

Publisher

IEEE

Location

Atlanta, Georgia

Place of publication

Piscataway, N.J.

Start date

18/10/2015

End date

22/10/2015

ISBN-13

9781467374576

Language

eng

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Copyright notice

2015, IEEE

Title of proceedings

VL/HCC 2015 : Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing