Veera Muangsin. Detecting new points of interest using taxi GPS Data. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2023.
Detecting new points of interest using taxi GPS Data
Abstract:
Nowadays, online mapping services, such as navigation, rely significantly
on points of interest (POIs) data to enhance their utility
and efficiency. However, maintaining an up-to-date POI dataset is
a challenging task. Recognizing this, we observed that taxi pick-up
and drop-off locations often align with POIs, like markets, schools,
and department stores. This research proposes a method for detecting
potential new POIs by using taxi GPS data alongside an
existing POI dataset. The process consists of extracting pick-up
and drop-off points from taxi GPS data, clustering them using an
adaptive DBSCAN algorithm, and finding the representative point
for each cluster. Subsequently, these representative points are compared
with the nearest POIs in the current dataset to identify new
POIs candidates. Experimental analysis using diverse GPS data distributions
showed that areas with greater population and density
were more effective in identifying POIs than sparser areas. As a
result, our proposed method and the developed tool can augment
existing POI datasets by recognizing locations poised to emerge as
new POIs.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2023
Modified:
2025-03-04
Issued:
2025-03-04
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BibliograpyCitation :
In King Mongkut's University of Technology Thonburi. The 13th International Conference on Advances in Information Technology (IAIT 2023) (Article 40). Bangkok : King Mongkut's University of Technology Thonburi