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Road flood warning system with information dissemination via social media

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 9 No. 6 (2019)

DOI
10.11591/ijece.v9i6.pp4979-4987
ISSN
2088-8708, 2088-8708
Published
2019-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Flooding is one of the most devastating natural disasters in the world. It occurs when water from heavy rains exceeds the capacity of the river banks into which it runs. Some roads are also being affected when this natural phenomenon happens which lead to closure of roads. This closure, however, are often dissiminated late to the people that are passing through the closed roads. For this purpose, a Road Flood Warning System with Information Dissemination via Social Media has been developed to provide timely flood alert information to the public. The system determines the depth of the water through an ultrasonic sensor and disseminates the data gathered to the Internet through the use of social media sites specifically Twitter and Facebook. Moreover, the system has a LED matrix and light emitting diode to display whether the roads are passable during the occurrence of floods. The test results on the performance of ultrasonic sensor showed an accuracy of 98.69% while dissemination of information was 90% successful.

Collaboration network of the authors

14 authors · 35 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Saint Louis University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Kym Harris BulauitanSaint Louis University1
Ravy Kim VicenteSaint Louis University1
Michelle RafaelSaint Louis University1
Jay Boy FloresSaint Louis University1
Mycah AccadSaint Louis University1
Marvin James PagauisanSaint Louis University1
Patrick TaguiamSaint Louis University1
Mary Ronalie FerrerSaint Louis University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 1 Nov 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Road flood warning system with information dissemination via social media</dc:title><dc:creator>Abana, Ertie Cusipag</dc:creator><dc:creator>Dayag, Cindy Verli</dc:creator><dc:creator>Valencia, Vanessa Mae</dc:creator><dc:creator>Talosig, Princess Hipolito</dc:creator><dc:creator>Ratilla, John Paulo</dc:creator><dc:creator>Galat, Gladys</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span&amp;gt;Flooding is one of the most devastating natural disasters in the world. It occurs when water from heavy rains exceeds the capacity of the river banks into which it runs. Some roads are also being affected when this natural phenomenon happens which lead to closure of roads. This closure, however, are often dissiminated late to the people that are passing through the closed roads. For this purpose, a Road Flood Warning System with Information Dissemination via Social Media has been developed to provide timely flood alert information to the public. The system determines the depth of the water through an ultrasonic sensor and disseminates the data gathered to the Internet through the use of social media sites specifically Twitter and Facebook. Moreover, the system has a LED matrix and light emitting diode to display whether the roads are passable during the occurrence of floods. The test results on the performance of ultrasonic sensor showed an accuracy of 98.69% while dissemination of information was 90% successful.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2019-12-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v9i6.pp4979-4987</dc:identifier><dc:identifier>10.11591/ijece.v9i6.pp4979-4987</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 9 No 6 (2019); 4979</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/16496/13215</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>