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Analysis and comparison of publicly available databases for urban mobility applications

Bousdar Ahmed, Dina and Munoz Diaz-Ropero, Estefania (2021) Analysis and comparison of publicly available databases for urban mobility applications. Indoor Positioning and Indoor Navigation (IPIN) Conference, 29.Nov-02.Dec 2021, Lloret de Mar, Spain. (In Press)

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Abstract

The challenges of multimodal applications can be addressed with machine learning or artificial intelligence methods, for which a database with large amounts of good quality data and ground truth is crucial. Since generating and publishing such a database is a challenging endeavour, there are only a handful of them available for the community to be used. In this article, we want to analyze three of these databases and compare them. We assess these databases regarding the ground truth that they provide, e.g. labels of the means of transport, and assess how much unlabelled data they publish. We compare these databases regarding the number of hours of data, and how these hours are distributed among different means of transport and activities. Finally, we assess the data in each public database regarding crucial aspects such as the stability of the sampling frequency, the minimum sampling frequency required to observe certain means of transport or activities and, how much lost data these databases have. One of our main conclusions is that accurately labelling data and ensuring a stable sampling frequency are two of the biggest challenges to be addressed when generating a public database for urban mobility.

Item URL in elib:https://elib.dlr.de/148515/
Document Type:Conference or Workshop Item (Speech)
Title:Analysis and comparison of publicly available databases for urban mobility applications
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Bousdar Ahmed, DinaDina.BousdarAhmed (at) dlr.deUNSPECIFIED
Munoz Diaz-Ropero, EstefaniaEstefania.Munoz (at) dlr.deUNSPECIFIED
Date:30 November 2021
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:In Press
Keywords:Machine learning, artificial intelligence, data mining, smartphone, passenger, dataset, vehicle, localization, detection, means of transport, transport mode
Event Title:Indoor Positioning and Indoor Navigation (IPIN) Conference
Event Location:Lloret de Mar, Spain
Event Type:international Conference
Event Dates:29.Nov-02.Dec 2021
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 - UrMo Digital
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Bousdar Ahmed, Dina
Deposited On:07 Feb 2022 14:25
Last Modified:07 Feb 2022 14:25

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