Title

Predicting Severity and Frequency of Automobile Accidents, and Identification of Accident Hotspots in the US

Presentation Type

Poster

Student

Yes

Track

Other

Abstract

Americans are now driving more than ever (US Department of Transportation, 2019). In 2010, close to 33,000 lives were lost and another estimated 3.9 million people were injured in automobile accidents; all things considered, these accidents accounted for $836 billion in damages. Since then, the rate of automobile-related deaths per 100 million miles traveled has not shown signs of improvement (National Center for Statistics and Analysis, 2019). This research aims to conduct an exploratory data analysis on a dataset containing 2.25 million automobile accident records collected over a span of three years from February 2016 to March 2019, to help predict the severity and frequency of traffic accidents, as well as to identify potential accident “hotspots” across the US.

Start Date

2-11-2020 1:00 PM

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Feb 11th, 1:00 PM

Predicting Severity and Frequency of Automobile Accidents, and Identification of Accident Hotspots in the US

Volstorff A

Americans are now driving more than ever (US Department of Transportation, 2019). In 2010, close to 33,000 lives were lost and another estimated 3.9 million people were injured in automobile accidents; all things considered, these accidents accounted for $836 billion in damages. Since then, the rate of automobile-related deaths per 100 million miles traveled has not shown signs of improvement (National Center for Statistics and Analysis, 2019). This research aims to conduct an exploratory data analysis on a dataset containing 2.25 million automobile accident records collected over a span of three years from February 2016 to March 2019, to help predict the severity and frequency of traffic accidents, as well as to identify potential accident “hotspots” across the US.