Automated accident detection and rescue system

Vehicle accidents cause lot of damage. Early detection and timely action will help a lot in accident situations. Researchers proposed methods to analyze vehicle mounted sensor data to detect accidents. To get a big clear picture, we need to correlate and analyze pieces of sensor data instead of analyzing them independently. Along with it, if we also analyze traveler's health data, it will be helpful to take rescue actions. It may not be straightforward to correlate and analyze all these data sets in real time. A big system and framework is required to do so. An architecture and design methodology is proposed in this paper to analyze the data provided by the vehicle mounted sensors and health data sent by passenger's wearable devices to detect accidents in real time. After detecting the accidents, system assesses the impact of the accident. Then it either alerts relevant people for rescue action or it does needful actions (as described by the domain experts) on its own.