An aggregation and visualization technique for crowd-sourced continuous monitoring of transport infrastructures

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

3 Citations (Scopus)
5 Downloads (Pure)

Abstract

Smartphones have revolutionized the way infrastructure health monitoring applications operate. Their ubiquitous sensing and communication capabilities have made measurement data for infrastructural health monitoring applications easily available. They, however, also introduced a new challenge, namely the huge amount of data that is generated. This new reality prompts the need for efficient techniques to handle, process, aggregate, and visualize this huge amount of streaming data.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages219-224
Number of pages6
ISBN (Print)9781509043385
DOIs
Publication statusPublished - 2 May 2017
EventIEEE International Conference on Pervasive Computing and Communications, PerCom 2017 - Kona, Big Island, United States
Duration: 13 Mar 201717 Mar 2017
http://www.percom.org/Previous/ST2017/

Conference

ConferenceIEEE International Conference on Pervasive Computing and Communications, PerCom 2017
Abbreviated titlePerCom
CountryUnited States
CityKona, Big Island
Period13/03/1717/03/17
Internet address

Fingerprint

Agglomeration
Visualization
Health
Monitoring
Smartphones
Communication

Keywords

  • Computational geometry
  • Crowd-sensing
  • Delaunay Triangulation
  • Infrastructure health monitoring
  • Map generation
  • Map-matching
  • Predictive maintenance

Cite this

Seraj, F., Meratnia, N., & Havinga, P. J. M. (2017). An aggregation and visualization technique for crowd-sourced continuous monitoring of transport infrastructures. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017 (pp. 219-224). Piscataway, NJ: IEEE. https://doi.org/10.1109/PERCOMW.2017.7917561
Seraj, Fatjon ; Meratnia, Nirvana ; Havinga, Paul J.M. / An aggregation and visualization technique for crowd-sourced continuous monitoring of transport infrastructures. 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017. Piscataway, NJ : IEEE, 2017. pp. 219-224
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Seraj, F, Meratnia, N & Havinga, PJM 2017, An aggregation and visualization technique for crowd-sourced continuous monitoring of transport infrastructures. in 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017. IEEE, Piscataway, NJ, pp. 219-224, IEEE International Conference on Pervasive Computing and Communications, PerCom 2017, Kona, Big Island, United States, 13/03/17. https://doi.org/10.1109/PERCOMW.2017.7917561

An aggregation and visualization technique for crowd-sourced continuous monitoring of transport infrastructures. / Seraj, Fatjon ; Meratnia, Nirvana ; Havinga, Paul J.M.

2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017. Piscataway, NJ : IEEE, 2017. p. 219-224.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Seraj F, Meratnia N, Havinga PJM. An aggregation and visualization technique for crowd-sourced continuous monitoring of transport infrastructures. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017. Piscataway, NJ: IEEE. 2017. p. 219-224 https://doi.org/10.1109/PERCOMW.2017.7917561