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SocialMedia2Traffic: derivation of traffic information from social media data

Traffic prediction is a topic of increasing importance for research and applications in the domain of routing and navigation. Unfortunately, open data are rarely available for this purpose. To overcome this, the authors explored the possibility of using geo-tagged social media data (Twitter), land-u...

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Hauptverfasser: Zia, Mohammed (VerfasserIn) , Fürle, Johannes (VerfasserIn) , Ludwig, Christina (VerfasserIn) , Lautenbach, Sven (VerfasserIn) , Gumbrich, Stefan (VerfasserIn) , Zipf, Alexander (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 13 September 2022
In: ISPRS International Journal of Geo-Information
Year: 2022, Jahrgang: 11, Heft: 9, Pages: 1-20
ISSN:2220-9964
DOI:10.3390/ijgi11090482
Online-Zugang:Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.3390/ijgi11090482
Verlag, lizenzpflichtig, Volltext: https://www.mdpi.com/2220-9964/11/9/482
Volltext
Verfasserangaben:Mohammed Zia, Johannes Fürle, Christina Ludwig, Sven Lautenbach, Stefan Gumbrich and Alexander Zipf

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