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A survey of ranging techniques for vehicle localization in intelligence transportation system: challenges and opportunities

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 12 No. 6 (2022)

DOI
10.11591/ijece.v12i6.pp6248-6260
ISSN
2722-2578, 2088-8708
Published
2022-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Observing the vehicles movement becomes an urgent necessity due to exponentially increasing numbers of vehicles in the world. However, to this regard, a good deal of research had been presented to estimate the exact physical position of the vehicle. The major challenges faced vehicle localization systems are large coverage areas required, positioning at diverse environments and positioning during a high-speed movement. However, in this paper, the challenges of employing the vehicle localization techniques, which rely on the propagation signal properties, are discussed. Moreover, a comparison between these techniques, in terms of accuracy, responsiveness, scalability, cost, and complexity, is conducted. The presented positioning technologies are classified into five categories: satellite based, radio frequency based, radio waves based, optical based, and sound based. The discussion shows that, both of satellite-based technology and cellular-based technology are emerge solutions to overcome the challenges of vehicle positioning. Satellite-based can provide a high accurate positioning in open outdoor environment, whereas the cellular-based can provide accurate and reliable vehicle localization in urban environment, it can support non-line of sight (NLOS) positioning and provide large coverage and high data transmission. The paper also shows that, the standalone localization technology still has limitations. Therefore, we discussed how the presented techniques are integrated to improve the positioning performance.

Collaboration network of the authors

29 authors · 94 co-authorship links · 31 across different organisations

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

  • Multimedia University
  • Universiti Putra Malaysia
  • Tun Hussein Onn University of Malaysia
  • University of Technology Malaysia
  • Alliance University
  • Dhaka International University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ferdous HossainMultimedia University3
Md. Jakir HossenMultimedia University2
M. Z. H. JesmeenMultimedia University2
Md. Armanur RahmanMultimedia University1
Chinthakunta VenkataseshaiahMultimedia University1
CK HoMultimedia University1
Aziza SultanaDhaka International University1
Mohammed Ahmed Magzoub AlbashierMultimedia University1
Mohammed Ahmed SalemMultimedia University1
Hadhrami Ab GhaniMultimedia University1
Azlina Abdul AzizMultimedia University1
Azwan MahmudMultimedia University1
Tharek Abd RahmanUniversity of Technology Malaysia1
Omar Abdul AzizUniversity of Technology Malaysia1
Mohd Nazeri KamaruddinMultimedia University1
Azlan Abdul AzizAffiliation unknown1
Chy. Mohammed Tawsif KhanMultimedia University1
Jaya GanesanAlliance University1
Gajula Ramana MurthyAlliance University1
Fazirulhisyam HashimUniversiti Putra Malaysia1
Nnamdi Henry UmeloUniversiti Putra Malaysia1
Nor K. NoordinUniversiti Putra Malaysia1
Mohd Fadlee A. RasidUniversiti Putra Malaysia1
Mina AsaduzamanAffiliation 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>A survey of ranging techniques for vehicle localization in intelligence transportation system: challenges and opportunities</dc:title><dc:creator>Bakhuraisa, Yaser</dc:creator><dc:creator>Aziz, Azlan Abd</dc:creator><dc:creator>Geok, Tan Kim</dc:creator><dc:creator>Jamian, Saifulnizan</dc:creator><dc:creator>Mustakim, Fajaruddin</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;Observing the vehicles movement becomes an urgent necessity due to exponentially increasing numbers of vehicles in the world. However, to this regard, a good deal of research had been presented to estimate the exact physical position of the vehicle. The major challenges faced vehicle localization systems are large coverage areas required, positioning at diverse environments and positioning during a high-speed movement. However, in this paper, the challenges of employing the vehicle localization techniques, which rely on the propagation signal properties, are discussed. Moreover, a comparison between these techniques, in terms of accuracy, responsiveness, scalability, cost, and complexity, is conducted. The presented positioning technologies are classified into five categories: satellite based, radio frequency based, radio waves based, optical based, and sound based. The discussion shows that, both of satellite-based technology and cellular-based technology are emerge solutions to overcome the challenges of vehicle positioning. Satellite-based can provide a high accurate positioning in open outdoor environment, whereas the cellular-based can provide accurate and reliable vehicle localization in urban environment, it can support non-line of sight (NLOS) positioning and provide large coverage and high data transmission. The paper also shows that, the standalone localization technology still has limitations. Therefore, we discussed how the presented techniques are integrated to improve the positioning performance.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2022-12-01</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.v12i6.pp6248-6260</dc:identifier><dc:identifier>10.11591/ijece.v12i6.pp6248-6260</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 12 No 6 (2022); 6248</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/28725/16074</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>