Applications for Vehicle Speed Detection: A Systematic Review from 2013 to 2024

Applications for Vehicle Speed Detection: A Systematic Review from 2013 to 2024
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© 2025 by IJETT Journal
Volume-73 Issue-6
Year of Publication : 2025
Author : Nebeck Davila-Diaz, Erasmo Montufar-Barrientos, Claudia Marrujo-Ingunza, Sebastian Ramos-Cosi
DOI : 10.14445/22315381/IJETT-V73I6P130

How to Cite?
Nebeck Davila-Diaz, Erasmo Montufar-Barrientos, Claudia Marrujo-Ingunza, Sebastian Ramos-Cosi, "Applications for Vehicle Speed Detection: A Systematic Review from 2013 to 2024," International Journal of Engineering Trends and Technology, vol. 73, no. 6, pp.371-381, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I6P130

Abstract
In the last decade, research on intelligent vision applied to vehicle speed detection has grown significantly due to the need to optimize traffic control and improve road safety. This study, supported by the objective of identifying mobile applications that implement intelligent vision for vehicle speed detection and based on the STAR methodology, identified 79 documents in databases such as Scopus and PubMed related to this topic. The results show that China leads the scientific production in this field, followed by the United States and India. At the same time, Latin American countries, such as Mexico and Chile, have a lower participation. In terms of thematic areas, most research comes from Computer Science (46.6%), Engineering (35.9%), and Mathematics (14.5%), reflecting the predominance of a technological approach. Furthermore, 57% of the documents correspond to conference papers, indicating a tendency to present advances at specialized events before consolidating them into scientific articles. In conclusion, intelligent vision applied to vehicle speed detection represents a key tool for traffic management and road safety, with growing interest in deep learning, image processing, and automatic detection algorithms. However, the limited participation of some countries and disciplines suggests the need to foster interdisciplinary research and global collaborations to maximize the impact of these technologies in different urban and regulatory contexts.

Keywords
Mobile applications, Intelligent vision, Vehicle speed detection, Traffic safety, Computer vision.

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