To reduce traffic accidents is an important public safety challenge around the world. Accidents can be prevented by revealing hidden patterns in the data and giving this invaluable data and model as a warning to the government, traffic police and respective drivers of vehicles. Different factors involved in traffic collisions have a substantial effect on each other, and explained the severity of traffic accidents. Thus, one traffic accident severity prediction should be useful and instructive for accidents reduction.
Haibin86/Project-to-predict-traffic-accident-severity-by-machine-learning
To reduce traffic accidents is an important public safety challenge around the world. Accidents can be prevented by revealing hidden patterns in the data and giving this invaluable data and model as a warning to the government, traffic police and respective drivers of vehicles. Different factors involved in traffic collisions have a substantial effect on each other, and explained the severity of traffic accidents. Thus, one traffic accident severity prediction should be useful and instructive for accidents reduction.
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