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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGPDW34P/3SEUNGH
Repositorysid.inpe.br/mtc-m16c/2018/12.27.17.58
Last Update2018:12.27.17.58.00 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m16c/2018/12.27.17.58.01
Metadata Last Update2023:01.30.13.09.08 (UTC) administrator
ISSN2179-4847
Citation KeyRibeiroFaleHola:2018:GeArDa
TitleGenerating artificial data for bus travel time predictions
FormatOn-line
Year2018
Access Date2024, May 17
Secondary TypePRE CN
Number of Files1
Size1010 KiB
2. Context
Author1 Ribeiro, Leandro S.
2 Faleiros, Thiago P.
3 Holanda, Maristela
Affiliation1 Universidade de Brasília (UnB)
2 Universidade de Brasília (UnB)
3 Universidade de Brasília (UnB)
EditorVinhas, Lúbia (INPE)
Campelo, Claudio (UFCG)
e-Mail Addresslubia@dpi.inpe.br
Conference NameSimpósio Brasileiro de Geoinformática, 19 (GEOINFO)
Conference LocationCampina Grande
Date05-07 dez. 2018
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages13-24
History (UTC)2018-12-27 17:59:14 :: lubia@dpi.inpe.br -> administrator :: 2018
2019-01-07 15:55:11 :: administrator -> simone :: 2018
2020-05-19 19:10:48 :: simone -> administrator :: 2018
2023-01-30 13:09:08 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractThis paper proposes a simulator capable of quickly generating a large amount of data that may be used to train bus travel time predictive algorithms in an urban transport network. To validate the proposal, a case study was car- ried out on a bus line in the city of Bras ́ılia/DF, Brazil. In the case study, the Simulator generated data for several scenarios that differ in distinct levels of variability and these data were used to evaluate the performance of a K-Nearest Neighbor predictor in each of the scenarios.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > GEOINFO > XIX GEOINFO > Generating artificial data...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > XIX GEOINFO > Generating artificial data...
Arrangement 3urlib.net > BDMCI > Fonds > GEOINFO > Coleção GEOINFO > Generating artificial data...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPDW34P/3SEUNGH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPDW34P/3SEUNGH
Languagept
Target Filep2.pdf
User Grouplubia@dpi.inpe.br
Reader Groupadministrator
simone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPDW34P/42T2QTS
8JMKD3MGPDW34P/48F29JE
Citing Item Listsid.inpe.br/mtc-m16c/2020/07.22.00.49 4
sid.inpe.br/mtc-m16c/2023/01.30.13.05 1
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist booktitle callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
7. Description control
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