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Points of interest idintification: A case study in Beijing metropolitian area

Karite, Aicha and Bousdar Ahmed, Dina and Munoz Diaz-Ropero, Estefania (2022) Points of interest idintification: A case study in Beijing metropolitian area. IEEE Smart cities conferance, Paphos,Cyprus.

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Abstract

Recent advances in navigation have generated an extensive amount of georeferenced trajectories which contain information about citizen's movement and their behavior. The objective of this article is to explore georeferenced satellite-based trajectories to identify points of interest, like university, restaurant and gym. We proposed a three-step approach, the first step is cleaning the georeferenced satellite-based data, the second step is to identify stay points by checking the distance and time between the points of each trajectory, and finally we cluster these stay points to extract points of interest. We evaluate the proposed method with a real-world dataset recorded over three years by 62 users in Beijing. We worked with trajectories where the users were walking, riding a bike and driving a car. Our approach was able to extract 138 points of interest, in which 40% were extracted from walking trajectories 33% from biking and 26% from driving. Our results have demonstrated that taking into consideration, the transportation mode for points of interest identification is an important aspect specially for the parameters estimation.

Item URL in elib:https://elib.dlr.de/187849/
Document Type:Conference or Workshop Item (Speech)
Title:Points of interest idintification: A case study in Beijing metropolitian area
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Karite, Aichaaicha.karite (at) dlr.deUNSPECIFIED
Bousdar Ahmed, DinaDina.BousdarAhmed (at) dlr.deUNSPECIFIED
Munoz Diaz-Ropero, EstefaniaEstefania.Munoz (at) dlr.deUNSPECIFIED
Date:2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Accepted
Keywords:Dataset, stay point, cluster, medoid, diameter, GPS trajectory, radius, transportation mode
Event Title:IEEE Smart cities conferance
Event Location:Paphos,Cyprus
Event Type:international Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - VMo4Orte - Vernetzte Mobilität für lebenswerte Orte
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Transport Research
Institute of Communication and Navigation > Communications Systems
Deposited By: Karite, Aicha
Deposited On:23 Aug 2022 13:48
Last Modified:23 Aug 2022 13:48

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  • Points of interest idintification: A case study in Beijing metropolitian area. (deposited 23 Aug 2022 13:48) [Currently Displayed]

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