Data Analysis on US Accidents

Road accidents are one of the leading causes of death and morbidity around the world. A road accident can be defined as an event in which one or more people are killed or injured due to the collision of the vehicle with an inanimate object such as a building or with another vehicle. In order to increase safety while on the road, several experiments have been performed to determine the main factors at play. For this project, the US accidents dataset which contains over 3 million recorded accidents that have occured in the United States of America in the context of the various environmental conditions. The data was collected from the year 2016, using several data providers, including two APIs which provide streaming traffic event data that were captured by a variety of entities, such as the US and state departments of transportation, law enforcement agencies, traffic cameras, and traffic sensors within the road-networks. .The results obtained from the analysis of the dataset indicate that there are many factors which not only cause an accident but also affect the severity of the accident. For example, accidents that have occured when there was snowfall were more severe than the accidents that occured in clear weather. . The US-Accidents dataset can be used for numerous applications such as real-time accident prediction, studying accident hotspot locations, casualty analysis and extracting cause and effect rules to predict accidents, or studying the impact of precipitation or other environmental stimuli on accident occurrence.