MAGNEX Project / Next-Generation Intelligent Electromagnetic Collision Prevention and Impact Mitigation Platform
MAGNEX (Advanced Electromagnetic Collision Prevention & Impact Mitigation System) is a conceptual engineering project that investigates the potential application of intelligent electromagnetic technologies as an additional layer of vehicle safety. The project explores how controlled electromagnetic systems, artificial intelligence, advanced sensing technologies, and real-time decision support can be integrated into a unified safety architecture to complement existing automotive safety systems. Unlike conventional safety approaches that primarily rely on passive protection or driver assistance technologies, MAGNEX proposes a modular framework designed to support predictive collision risk assessment, intelligent emergency response coordination, and future research into advanced impact mitigation strategies. The concept is intended to operate alongside established vehicle safety technologies rather than replace them. The proposed architecture incorporates conceptual electromagnetic safety modules, AI-based decision systems, radar and LiDAR sensing, sensor fusion, vehicle control integration, intelligent power management, emergency activation mechanisms, and continuous diagnostic monitoring. Together, these components form a scalable platform intended for future engineering evaluation, simulation, and prototype development. Potential application areas include passenger vehicles, electric vehicles, commercial transportation, autonomous mobility platforms, emergency response vehicles, defense systems, and smart transportation infrastructures. The project also provides a structured development roadmap covering concept engineering, digital simulation, subsystem prototyping, laboratory validation, vehicle testing, and industrial collaboration. MAGNEX is presented as an open conceptual engineering initiative that seeks collaboration with automotive manufacturers, universities, research institutions, technology companies, and strategic partners interested in advancing next-generation intelligent vehicle safety. Future work will focus on detailed engineering analyses, mathematical modeling, simulation studies, prototype development, and experimental validation.
Authors
- Muhammad Karim (ORCID: https://orcid.org/0009-0007-2490-3289)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-08-03
- DOI
- https://doi.org/10.5281/zenodo.21769746
- Primary Topic
- Vehicular Ad Hoc Networks (VANETs)
- Type
- preprint