Instrument Cluster Utilizing Technical Specifications

Authors- Vedant Dandekar, Ritik Patel, Pratik Jain

Abstract-Accident Detection in Two Wheelers is a tool which helps to detect accidents occurring intwo wheeler vehicles using IoT. This system features several components such as automatic vehicle tracking, accident detection algorithms, crash alert notifications, and an interface for driver safety control. The accident detection process begins by collecting location data from two wheelers as they move along the road network. Initially, the system uses GPS-enabled devices and sensors to collect position information which is then processed with advanced algorithms to anticipate an imminent collision risk. A crash alert notification is sent to involved drivers if any possible collision occurs on the route so that necessary preventive measures can be taken promptly ahead of time. To further enhance safety, an interface has also been developed for driver assistance where the rider can control his vehicle using voice commands or gestures input such as lean slant control for cornering and braking assistance systems during emergency situations. In addition, data collected from the accident detection system can be used in future analytics and research related applications such as developing better police traffic databases, suggesting safer routes based on past accidents or to understand true root cause of motorcycle run-offs. Moreover, it may also be used to suggest smarter regulations focusing on reducing human errors or encouraging innovation related to higher road safety standards. In conclusion, Accident Detection in Two Wheelers helps significantly reduce human errors related to motorcycling cases and thus supporting riders on their journeys leading towards safer roads ahead.

DOI: /10.61463/ijset.vol.12.issue4.194