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TRAFFIC EVENT DETECTION USING TWITTER DATA BASED ON ASSOCIATION RULES
2019
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
<p><strong>Abstract.</strong> Social media platforms allow millions of people worldwide to instantly share their thoughts online. Many people use social media to share traffic related experiences and events with online posts. A large amount of traffic related data can be obtained from these online posts &ndash; especially geosocial media data, where posts are tagged with geolocation information such as coordinates or place names. By extracting traffic events from geosocial media data,
doi:10.5194/isprs-annals-iv-2-w5-543-2019
fatcat:7mszuuasareypnxy5lnszcerlm