Extracting Visited Points of Interest from Vehicle Trajectories

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

Identifying visited points of interest (PoIs) from vehicle trajectories remains an open problem that is difficult due to vehicles parking often at some distance from the visited PoI and due to some regions having a high PoI density. We propose a visited PoI extraction (VPE) method that identifies visited PoIs using a Bayesian network. The method considers stay duration, weekday, arrival time, and PoI category to compute the probability that a PoI is visited. We also provide a method to generate labeled data from unlabeled GPS trajectories. An experimental evaluation shows that VPE achieves a precision@3 value of 0.8, indicating that VPE is able to model the relationship between the temporal features of a stop and the category of the visited PoI.
Original languageEnglish
Title of host publicationProceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data
Number of pages6
PublisherAssociation for Computing Machinery
Publication date2017
Article number2
ISBN (Electronic)978-1-4503-5047-1
DOIs
Publication statusPublished - 2017
EventFourth International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data - Chicago, United States
Duration: 14 May 201719 May 2017

Workshop

WorkshopFourth International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data
CountryUnited States
CityChicago
Period14/05/201719/05/2017

Fingerprint

Trajectories
Parking
Bayesian networks
Global positioning system

Cite this

Keles, I., Schubert, M., Kröger, P., Saltenis, S., & Jensen, C. S. (2017). Extracting Visited Points of Interest from Vehicle Trajectories. In Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data [2] Association for Computing Machinery. https://doi.org/10.1145/3080546.3080552
Keles, Ilkcan ; Schubert, Matthias ; Kröger, Peer ; Saltenis, Simonas ; Jensen, Christian Søndergaard. / Extracting Visited Points of Interest from Vehicle Trajectories. Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data. Association for Computing Machinery, 2017.
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abstract = "Identifying visited points of interest (PoIs) from vehicle trajectories remains an open problem that is difficult due to vehicles parking often at some distance from the visited PoI and due to some regions having a high PoI density. We propose a visited PoI extraction (VPE) method that identifies visited PoIs using a Bayesian network. The method considers stay duration, weekday, arrival time, and PoI category to compute the probability that a PoI is visited. We also provide a method to generate labeled data from unlabeled GPS trajectories. An experimental evaluation shows that VPE achieves a precision@3 value of 0.8, indicating that VPE is able to model the relationship between the temporal features of a stop and the category of the visited PoI.",
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Keles, I, Schubert, M, Kröger, P, Saltenis, S & Jensen, CS 2017, Extracting Visited Points of Interest from Vehicle Trajectories. in Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data., 2, Association for Computing Machinery, Fourth International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data, Chicago, United States, 14/05/2017. https://doi.org/10.1145/3080546.3080552

Extracting Visited Points of Interest from Vehicle Trajectories. / Keles, Ilkcan; Schubert, Matthias; Kröger, Peer; Saltenis, Simonas; Jensen, Christian Søndergaard.

Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data. Association for Computing Machinery, 2017. 2.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AU - Schubert, Matthias

AU - Kröger, Peer

AU - Saltenis, Simonas

AU - Jensen, Christian Søndergaard

PY - 2017

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Keles I, Schubert M, Kröger P, Saltenis S, Jensen CS. Extracting Visited Points of Interest from Vehicle Trajectories. In Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data. Association for Computing Machinery. 2017. 2 https://doi.org/10.1145/3080546.3080552