Mivick: Alert and monitoring system to cyclists and motorciclists

This project proposes the development of a monitoring system for the security of cyclists and motorcyclists on bike lanes and blue lanes. Using IoT technology and embedded sensors, such as accelerometers, gyroscopes, impact sensors, and distance sensors, the device can detect falls, minor collisions, and risk situations. The motivation stems from the high risk of accidents involving inattentive, reckless or alcohol-driving drivers, which makes these users more vulnerable. Our main objective is to offer a technological solution that increases protection, reduces incidents and promotes greater confidence in the use of these spaces. The research combines quantitative and qualitative approaches to identify the vital scenario of dangers and understand the user's needs. The system transmits immediate alerts via the mobile app. It is expected that the solution will increase road security, reduce accidents, and promote greater autonomy and confidence among cyclists and motorcyclists in urban areas.

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Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-25
DOI
https://doi.org/10.5281/zenodo.19743893
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Mivick: Alert and monitoring system to cyclists and motorciclists

David Romero García, Rogerio Bezerra Costa, Giovanna Andrade Dantas, Bernardo Vieira Costa dos Santos et al.
Zenodo (CERN European Organization for Nuclear Research)
IoT and GPS-based Vehicle Safety Systems
article

Mivick: Alert and monitoring system to cyclists and motorciclists

David Romero García, Rogerio Bezerra Costa, Giovanna Andrade Dantas, Bernardo Vieira Costa dos Santos, Jeferson Roberto de Lima
article en

Abstract

This project proposes the development of a monitoring system for the security of cyclists and motorcyclists on bike lanes and blue lanes. Using IoT technology and embedded sensors, such as accelerometers, gyroscopes, impact sensors, and distance sensors, the device can detect falls, minor collisions, and risk situations. The motivation stems from the high risk of accidents involving inattentive, reckless or alcohol-driving drivers, which makes these users more vulnerable. Our main objective is to offer a technological solution that increases protection, reduces incidents and promotes greater confidence in the use of these spaces. The research combines quantitative and qualitative approaches to identify the vital scenario of dangers and understand the user's needs. The system transmits immediate alerts via the mobile app. It is expected that the solution will increase road security, reduce accidents, and promote greater autonomy and confidence among cyclists and motorcyclists in urban areas.

Zenodo (CERN European Organization for Nuclear Research)
São Paulo State Technological College (BR)
Sustainable cities and communities
Openalex Percentile: Top 8%
IoT and GPS-based Vehicle Safety Systems
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