Block-Matching Twitter Data for Traffic Event Location
- 1 Florida Institute of Technology, United States
Copyright: © 2020 Amal Shuqair and Samuel Kozaitis. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
We used a block-matching approach that is data-driven and relies mostly on patterns of tagged speech in Twitter streams as a way to identify events in road traffic. Events are useful because their location may identify the status of road segments, especially when cross-street data are available. Basing a system on patterns that are not pre-defined has the advantage of flexibility for a variety of scenarios.
- 730 Views
- 1,043 Downloads
- 0 Citations
- Parts of Speech
- Social Media