Safe Design of Motorcycles Using Fuzzy Logic, Global Navigation Satellite Systems and Sensors

A novel device and algorithm were created for the early detection of two-wheeler accidents. It used multiple acceleration sensor, geomagnetic sensor proximity sensors and gyroscope. Combination of GLONASS, GPS, GALILEO, BEIDOU, QZSS and IRNSS was used for more accuracy and reliability. They could also track speed altitude and direction. Various cases were studied for example, going underground and riding in the mountains. Fuzzy logic was used to analyse the most common possible cases. The novel technology can automatically send message to emergency services for example ambulance and fire brigade. Message first went to friends and family. They forwarded the same to emergency services if required. An analysis of extreme cases was made. Analysis of fake positives and fake negatives was done to enhance accuracy. Thus, making rescue faster. Issues of large-scale installation and ease of installation were addressed. The main aim was reducing the suffering of accident victim. Various parameters such as the sudden drop in speed and angle of inclination were used to detect an accident. The device could work even with the engine turned off post-accident. Practical implementation issues were addressed.