SAFEVIEW: System of monitoring blind spots for large trucks

It is estimated that a significant portion of accidents involving large trucks results from drivers’ limited visibility of other traffic participants, such as cyclists, pedestrians, and smaller vehicles, who are frequently victims of these incidents. In this context, this article presents an integrated, physical, and digital system capable of providing images and alerts of the vehicle’s surroundings, reducing distractions and facilitating the execution of maneuvers. Considering the critical importance of safety, the adoption of the project, named SafeView, would allow drivers to visualize the external environment while benefiting from accessible and easy-to-operate technology, making the solution advantageous for those seeking to ensure both their own safety and that of others. Despite existing knowledge about vehicle blind spots, there are no studies offering detailed information on accidents related to them, limiting the proper application of the mentioned measures. However, through field research identifying factors that contribute to traffic accidents, it is possible to detect patterns and critical situations in the interaction between drivers and blind spots, providing a solid foundation for the implementation of the SafeView project.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-12
DOI
https://doi.org/10.5281/zenodo.20144909
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

SAFEVIEW: System of monitoring blind spots for large trucks

Jeferson Roberto de Lima, Ester Rodrigues Soares, Jhonata Alves do Nascimento, Gustavo Henrique Ribeiro da Silva et al.
Zenodo (CERN European Organization for Nuclear Research)
Traffic and Road Safety
article

SAFEVIEW: System of monitoring blind spots for large trucks

Jeferson Roberto de Lima, Ester Rodrigues Soares, Jhonata Alves do Nascimento, Gustavo Henrique Ribeiro da Silva, Gabrielly Nascimento Bento
article en

Abstract

It is estimated that a significant portion of accidents involving large trucks results from drivers’ limited visibility of other traffic participants, such as cyclists, pedestrians, and smaller vehicles, who are frequently victims of these incidents. In this context, this article presents an integrated, physical, and digital system capable of providing images and alerts of the vehicle’s surroundings, reducing distractions and facilitating the execution of maneuvers. Considering the critical importance of safety, the adoption of the project, named SafeView, would allow drivers to visualize the external environment while benefiting from accessible and easy-to-operate technology, making the solution advantageous for those seeking to ensure both their own safety and that of others. Despite existing knowledge about vehicle blind spots, there are no studies offering detailed information on accidents related to them, limiting the proper application of the mentioned measures. However, through field research identifying factors that contribute to traffic accidents, it is possible to detect patterns and critical situations in the interaction between drivers and blind spots, providing a solid foundation for the implementation of the SafeView project.

Zenodo (CERN European Organization for Nuclear Research)
São Paulo State Technological College (BR)
Openalex Percentile: Top 5%
Traffic and Road Safety
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