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Open traffic lights : a strategy for publishing and preserving traffic lights data

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Abstract
For better traffic flow and making better policy decisions, the city of Antwerp is connecting traffic lights to the Internet. The live “time to green” only tells a part of the story: also the historical values need to be preserved and need to be made accessible to everyone. We propose (i) an ontology for describing the topology of an intersection and the signal timing of traffic lights, (ii) a specification to publish these historical and live data with Linked Data Fragments and (iii) a method to preserve the published data in the long-term. We showcase the applicability of our specification with the opentrafficlights.org project where an end-user can see the live count-down as well as a line chart showing the historic “time to green” of a traffic light. We found that publishing traffic lights data as time sorted Linked Data Fragments allow synchronizing and reusing an archive to retrieve historical observations. Long-term preservation with tape storage becomes feasible when archives shift from byte preservation to knowledge preservation by combining Linked Data Fragments.
Keywords
smart cities, intelligent agents, linked data, semantic web

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Citation

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MLA
Van de Vyvere, Brecht, et al. “Open Traffic Lights : A Strategy for Publishing and Preserving Traffic Lights Data.” COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 ), ACM Press, 2019, pp. 966–71, doi:10.1145/3308560.3316520.
APA
Van de Vyvere, B., Colpaert, P., Mannens, E., & Verborgh, R. (2019). Open traffic lights : a strategy for publishing and preserving traffic lights data. COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 ), 966–971. https://doi.org/10.1145/3308560.3316520
Chicago author-date
Van de Vyvere, Brecht, Pieter Colpaert, Erik Mannens, and Ruben Verborgh. 2019. “Open Traffic Lights : A Strategy for Publishing and Preserving Traffic Lights Data.” In COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 ), 966–71. ACM Press. https://doi.org/10.1145/3308560.3316520.
Chicago author-date (all authors)
Van de Vyvere, Brecht, Pieter Colpaert, Erik Mannens, and Ruben Verborgh. 2019. “Open Traffic Lights : A Strategy for Publishing and Preserving Traffic Lights Data.” In COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 ), 966–971. ACM Press. doi:10.1145/3308560.3316520.
Vancouver
1.
Van de Vyvere B, Colpaert P, Mannens E, Verborgh R. Open traffic lights : a strategy for publishing and preserving traffic lights data. In: COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 ). ACM Press; 2019. p. 966–71.
IEEE
[1]
B. Van de Vyvere, P. Colpaert, E. Mannens, and R. Verborgh, “Open traffic lights : a strategy for publishing and preserving traffic lights data,” in COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 ), San Francisco, USA, 2019, pp. 966–971.
@inproceedings{8616688,
  abstract     = {{For better traffic flow and making better policy decisions, the city of Antwerp is connecting traffic lights to the Internet. The live “time to green” only tells a part of the story: also the historical values need to be preserved and need to be made accessible to everyone. We propose (i) an ontology for describing the topology of an intersection and the signal timing of traffic lights, (ii) a specification to publish these historical and live data with Linked Data Fragments and (iii) a method to preserve the published data in the long-term. We showcase the applicability of our specification with the opentrafficlights.org project where an end-user can see the live count-down as well as a line chart showing the historic “time to green” of a traffic light. We found that publishing traffic lights data as time sorted Linked Data Fragments allow synchronizing and reusing an archive to retrieve historical observations. Long-term preservation with tape storage becomes feasible when archives shift from byte preservation to knowledge preservation by combining Linked Data Fragments.}},
  author       = {{Van de Vyvere, Brecht and Colpaert, Pieter and Mannens, Erik and Verborgh, Ruben}},
  booktitle    = {{COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 )}},
  isbn         = {{9781450366755}},
  keywords     = {{smart cities,intelligent agents,linked data,semantic web}},
  language     = {{eng}},
  location     = {{San Francisco, USA}},
  pages        = {{966--971}},
  publisher    = {{ACM Press}},
  title        = {{Open traffic lights : a strategy for publishing and preserving traffic lights data}},
  url          = {{http://doi.org/10.1145/3308560.3316520}},
  year         = {{2019}},
}

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