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VANET-Based Traffic Monitoring and Incident Detection System: A Review

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 11 No. 4 (2021)

DOI
10.11591/ijece.v11i4.pp3193-3200
ISSN
2722-2578, 2088-8708
Published
2021-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

As a component of intelligent transport systems (ITS), vehicular ad hoc network (VANET), which is a subform of manet, has been identified. It is established on the roads based on available vehicles and supporting road infrastructure, such as base stations. An accident can be defined as any activity in the environment that may be harmful to human life or dangerous to human life. In terms of early detection, and broadcast delay. VANET has shown various problems. The available technologies for incident detection and the corresponding algorithms for processing. The present problem and challenges of incident detection in VANET technology are discussed in this paper. The paper also reviews the recently proposed methods for early incident techniques and studies them.

Collaboration network of the authors

40 authors · 109 co-authorship links · 52 across different organisations · showing the 40 most connected

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

  • Tun Hussein Onn University of Malaysia
  • University of Basrah
  • Universiti Teknikal Malaysia Melaka
  • National University of Malaysia
  • University of Surrey
  • Iraq University College
  • Universiti of Malaysia Sabah
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Mohammed Salah AboodBeijing Institute of Technology4
Nor Shahida Mohd ShahTun Hussein Onn University of Malaysia2
Adeeb SalhTun Hussein Onn University of Malaysia2
Shipun Anuar Hamzah‏Tun Hussein Onn University of Malaysia2
Zahriladha ZakariaUniversiti Teknikal Malaysia Melaka2
Sarmad Nozad MahmoodAffiliation unknown2
Rozlan AliasTun Hussein Onn University of Malaysia1
Raed Abdulkareem AbdulhasanTun Hussein Onn University of Malaysia1
Khairun Nidzam RamliTun Hussein Onn University of Malaysia1
Abdul Rashid O. MuminTun Hussein Onn University of Malaysia1
Zhili SunUniversity of Surrey1
Haitham S. CruickshankUniversity of Surrey1
Herwansyah LagoUniversiti of Malaysia Sabah1
Ahmad AhmadUniversiti Teknikal Malaysia Melaka1
Hamzah Hadi QasimTun Hussein Onn University of Malaysia1
A. E. HamzaTun Hussein Onn University of Malaysia1
Husam Hamid IbrahimTun Hussein Onn University of Malaysia1
Sara Ali AlwashAl-Nisour University1
Mahmoud Muhanad FadhelNational University of Malaysia1
O. S. HamedNational University of Malaysia1
M. I. HamzaUniversity of Basrah1
H. A. SaeedTun Hussein Onn University of Malaysia1
Sarah Zaeead AttaallahAffiliation unknown1
Haneen Sameer MhmoodAffiliation unknown1
Zeena Abdulsattar KhudhurAffiliation unknown1
Azzam Amer DhannoonAffiliation unknown1
Bassam HasanUniversiti Tenaga Nasional1
Mohammed Ayad SaadNational University of Malaysia1
Abdulkarem Basil AbdulkaremUniversity of Al Maarif1
Abdulmuttalib Turky RashidUniversity of Basrah1
Ola A. HasanUniversity of Basrah1
Ramzy Salim AliUniversity of Basrah1
Hamza H. QasimIraq University College1
Mustafa A. Al SibaheeIraq University College1
Tabarak Ali AbdulhusseinImam Ja’afar Al-Sadiq University1
Hamid A. Al-FalahiAffiliation unknown1

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 27 Okt 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>VANET-Based Traffic Monitoring and Incident Detection System: A Review</dc:title><dc:creator>Hamdi, Mustafa Maad</dc:creator><dc:creator>Audah, Lukman</dc:creator><dc:creator>Rashid, Sami Abduljabbar</dc:creator><dc:creator>Alani, Sameer</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span&amp;gt;As a component of intelligent transport systems (ITS), vehicular ad hoc network (VANET), which is a subform of manet, has been identified. It is established on the roads based on available vehicles and supporting road infrastructure, such as base stations. An accident can be defined as any activity in the environment that may be harmful to human life or dangerous to human life. In terms of early detection, and broadcast delay. VANET has shown various problems. The available technologies for incident detection and the corresponding algorithms for processing. The present problem and challenges of incident detection in VANET technology are discussed in this paper. The paper also reviews the recently proposed methods for early incident techniques and studies them.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2021-08-01</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.v11i4.pp3193-3200</dc:identifier><dc:identifier>10.11591/ijece.v11i4.pp3193-3200</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 11 No 4 (2021); 3193</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/23648/14928</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>