Block-Matching Twitter Data for Traffic Event Location

American journal of engineering and applied sciences

Shuqair, Amal¹ 

关键词: Block-Matching;    Parts of Speech;    Social Media;    Twitter;   

DOI  :  10.3844/ajeassp.2017.348.352

学科分类：工程和技术（综合）

来源: Science Publications

【 摘 要 】

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.

【 授权许可】

CC BY