A Survey on IoT based Automatic Road Accident Detection
Suraj Pratap Shubham, M. Naveen Kumar, Rajkishor, Sarika Jain
Abstract
Road accidents are a significant issue for everyone. Every day, a considerable amount of valuable lives are lost as a result of car collisions. It is the most critical field that requires significant exploration, given the high rates of fatalities related to road crashes. Driver error and delays in emergency department response time are the two most common causes. In order to rescue wounded people, an efficient road accident identification and information sharing system is needed. A device that communicates information about the crash site to local emergency responders to respond quickly is critical. Numerous scholars have suggested a variety of automatic accident warning systems in the research literature. Among them are smartphone-based accident detection, Global System for Mobile Communications (GSM) and Global Positioning System (GPS) technology, vehicular ad hoc networks, various machine learning algorithms, and mobile apps. Every vehicle should have an automatic road accident detection and information communication system installed. This research work provides a critical review of numerous emerging methodologies for forecasting and avoiding road crashes by emphasizing their benefits, shortcomings, and problems that must be resolved in order to ensure traffic safety and save lives.