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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PFQJLH
Repositorysid.inpe.br/sibgrapi/2017/08.21.17.31
Last Update2017:08.21.17.31.23 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/08.21.17.31.23
Metadata Last Update2022:06.14.00.08.54 (UTC) administrator
DOI10.1109/SIBGRAPI.2017.21
Citation KeyGomesSantVida:2017:InViTr
TitleInteractive Visualization of Traffic Dynamics Based on Trajectory Data
FormatOn-line
Year2017
Access Date2024, Apr. 29
Number of Files1
Size2276 KiB
2. Context
Author1 Gomes, George Allan Menezes
2 Santos, Emanuele
3 Vidal, Creto A.
Affiliation1 Federal University of Ceará, Fortaleza, Brazil
2 Federal University of Ceará, Fortaleza, Brazil
3 Federal University of Ceará, Fortaleza, Brazil
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addressgeorge@virtual.ufc.br
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2017-08-21 17:31:23 :: george@virtual.ufc.br -> administrator ::
2022-06-14 00:08:54 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsinteractive visualization
traffic visualization
traffic patterns
spatiotemporal
visual exploration
AbstractUrbanization is accelerating worldwide, giving rise to serious traffic problems. Traffic wave, known as stop-and-go traffic or phantom intersection, is one of the most significant traffic oscillation patterns studied in Traffic Engineering. Usually these studies are numerical experiments that investigate specific places, such as a crossroad or a highway section, and their findings cannot, therefore, be easily applied to sensing device data in a systematic computational approach. In this regard, visual analytics can help by combining automated analysis with interactive visualization for effective understanding, reasoning, and decision-making. In this paper, we present a novel approach for visualizing traffic oscillation patterns by visualizing the objects' movement in space over time, inspired by vector field visualization. We propose an algorithm to control and synchronize the visualization time; a systematic stepwise methodology for exploring sensing device data; and a visualization tool that computes the trajectory data in parallel on the GPU at interactive frame rates. Moreover, our approach is designed to support both batch-processed and streaming data applications. We also present the benefits and limitations of our visualization proposal based on domain expert feedback. Finally, we present performance tests with very encouraging results to support our approach.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Interactive Visualization of...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Interactive Visualization of...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PFQJLH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PFQJLH
Languageen
Target FilePID4959881.pdf
User Groupgeorge@virtual.ufc.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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