Analysis of Advanced Technologies to Reduce Traffic Accidents in Foggy Conditions

Vara-Teodoro M.; Arana-Huanca O.; Alva-Mantari A.; Huamani-Huaracca A.; Ramos-Cosi S. · SSRG International Journal of Electronics and Communication Engineering (2025) · DOI: 10.14445/23488549/ijece-v12i1p106

Resumen

Fog is one of the factors that affect visibility on roads the most, contributing to 15% of road accidents worldwide, especially in mountainous and rural areas. In the central highlands, 30% of fatal accidents are related to these conditions, with an increase of 20% during critical months. This study aims to analyze advanced technologies, such as adaptive lighting systems, driver assistance devices and artificial intelligence algorithms, aimed at reducing accidents in foggy scenarios. The methodology used a systematic review under the PRISMA guidelines, using the Scopus and IEEE Xplore databases. After applying inclusion and exclusion criteria, 138 articles published between 2003 and 2024 were analyzed. Tools such as VOSviewer and Google Colab facilitated bibliometric analysis and trend visualization. The results showed that China leads the research with 67 publications, followed by the United States with 26 publications and India with 13 publications. A total of 80 scientific articles and 70 conference articles were identified, with a predominance in engineering (34.7%) and computer science (25%). The technologies analyzed, especially those based on artificial intelligence, showed improvements of 30%, 40%, and 22% in detection systems. Despite these advances, its implementation faces economic and infrastructural challenges, so it is suggested that international collaborations be promoted and solutions adapted to local contexts be developed to improve road safety.

Instituciones: Universidad de Ciencias y Humanidades