Detecting New Points of Interest Using Taxi GPS Data-Reference-Cited by-同舟云学术

Detecting New Points of Interest Using Taxi GPS Data

Published:2023-12-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th International Conference on Advances in Information Technology
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Author:

Phattanarat Khomchan¹^ORCID,Muangsin Veera¹^ORCID

Affiliation:

1. Chulalongkorn University, Thailand

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3628454.3631858

Reference9 articles.

1. Bert Veenendaal , Maria Antonia Brovelli and Songnian Li . 2017 . Review of Web Mapping: Eras, Trends and Directions. International Journal of Geo-Information 6. Bert Veenendaal, Maria Antonia Brovelli and Songnian Li. 2017. Review of Web Mapping: Eras, Trends and Directions. International Journal of Geo-Information 6.

2. Achilleas Psyllidis , Song Gao , Yingjie Hu , Eun-Kyeong Kim , Grant McKenzie , Ross Purves , May Yuan and Clio Andris . 2022 . Points of Interest (Poi): A Commentary on the State of the Art, Challenges, and Prospects for the Future. Computational Urban Science volume 2. Achilleas Psyllidis, Song Gao, Yingjie Hu, Eun-Kyeong Kim, Grant McKenzie, Ross Purves, May Yuan and Clio Andris. 2022. Points of Interest (Poi): A Commentary on the State of the Art, Challenges, and Prospects for the Future. Computational Urban Science volume 2.

3. Visual Traffic Jam Analysis Based on Trajectory Data

4. Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset

5. Feng Mao Minhe Ji and Ting Liu. 2016. Mining Spatiotemporal Patterns of Urban Dwellers From Taxi Trajectory Data. Frontiers of Earth Science 10(2). Feng Mao Minhe Ji and Ting Liu. 2016. Mining Spatiotemporal Patterns of Urban Dwellers From Taxi Trajectory Data. Frontiers of Earth Science 10(2).