Advancement Through Research
In many countries, Accidents are considered as the most distressing cause in the present days. In particular several deaths are registered for causing enormous deaths across many countries only due to road accidents mainly occurred at the time of traffic. A lot number of vehicle accidents are main sources of deceptive, distress and mortality. Most of the accidents occur only during the cumulative period from all around different countries which are referred to as Unsafe or threatening situations that which are related to huge flow figured of the traffic especially vehicular traffics. The exploration of the occurrence of these accidents is useful in detecting the characteristics that paramount the severity of the cause of accidents. Most of the consequences namely light conditions, speed zone, part of injury, climate etc., also involves and closely attached for the cause of the traffic accidents, in which few of them are featured and more targeted in regulations of the accident criticality. The important aim of this work is to identify the criticality of the traffic accidents that occur. The major directive vectors are the attributes of the accident for instance include the part of the slight, allocation of vehicles on the highway and eco-friendly qualities that which include give the output results in relation to the vigorous levels of the classes of the accident criticality.
Severity Prediction, Machine Learning, Accident Prediction
