A Bibliometric Literature Review Analysis of Public Sentiment Towards the Implementation of ETLE Cameras at Intersection Four

The implementation of the Electronic Traffic Law Enforcement (ETLE) system at the Kadipaten intersection in Majalengka is a strategic step to improve traffic order through electronic camera-based surveillance. This study aims to evaluate public sentiment toward ETLE technology using a bibliometric approach and keyword visualization analysis. The Bibliometric method was used to collect and analyze 1,000 publications from Google Scholar, with the assistance of the Publish or Perish and VOSviewer software. The results indicate that the majority of studies highlight the important role of cameras in improving traffic efficiency and road safety. Keywords such as video camera, traffic camera, speed camera, and radar frequently appear, reflecting the high level of attention given to sensor technology and traffic monitoring. Keyword network visualization also reveals a strong connection between driver behavior, road design, and the effectiveness of ETLE cameras. This study provides recommendations to improve public acceptance through education, outreach, and the development of inclusive and transparent policies.

Authors

Institutions

Publication Details

Journal
RIGGS Journal of Artificial Intelligence and Digital Business
Published
2025-07-12
DOI
https://doi.org/10.31004/riggs.v4i2.1463
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Bibliometric Literature Review Analysis of Public Sentiment Towards the Implementation of ETLE Cameras at Intersection Four

Mohamad Taufik, A Hidayat, Fahmi Nabhan Luthfiansyah, Sevan Alif Maulana et al.
RIGGS Journal of Artificial Intelligence and Digital Business
Infrastructure Maintenance and Monitoring
article

A Bibliometric Literature Review Analysis of Public Sentiment Towards the Implementation of ETLE Cameras at Intersection Four

Mohamad Taufik, A Hidayat, Fahmi Nabhan Luthfiansyah, Sevan Alif Maulana, Erni Sari Lumban Toruan
article en

Abstract

The implementation of the Electronic Traffic Law Enforcement (ETLE) system at the Kadipaten intersection in Majalengka is a strategic step to improve traffic order through electronic camera-based surveillance. This study aims to evaluate public sentiment toward ETLE technology using a bibliometric approach and keyword visualization analysis. The Bibliometric method was used to collect and analyze 1,000 publications from Google Scholar, with the assistance of the Publish or Perish and VOSviewer software. The results indicate that the majority of studies highlight the important role of cameras in improving traffic efficiency and road safety. Keywords such as video camera, traffic camera, speed camera, and radar frequently appear, reflecting the high level of attention given to sensor technology and traffic monitoring. Keyword network visualization also reveals a strong connection between driver behavior, road design, and the effectiveness of ETLE cameras. This study provides recommendations to improve public acceptance through education, outreach, and the development of inclusive and transparent policies.

RIGGS Journal of Artificial Intelligence and Digital BusinessVol. 4(2)
Universitas Majalengka (ID)
Openalex Percentile: Top 79%
Infrastructure Maintenance and Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Bibliometric Literature Review Analysis of Public Sentiment Towards the Implementation of ETLE Cameras at Intersection Four — Mohamad Taufik, A Hidayat, et al. · RIGGS Journal of Artificial Intelligence and Digital Business (2025) | TGRS Research Map | TGRS