Vehicular accident occurrence analysis and prediction

Vehicular accidents within Tennessee increased by 25% within 2009-2019 according to Tennessee’s Integrated Traffic Analysis Network. Accidents rank in the top three causes of accidental death across all ages in the U.S, and in 2017 accounted for 11.9% of all deaths by injury, the National Vital Statistics Report and Center for Health Statistics report. Accidents represent a massive cost in economics with 12.5 million in damages within 2018 from statistics from National Safety Council. These statistics indicate need for thorough investigation into reduction of accidents in our society. This thesis focuses on that need, with introduction of a novel predictive model based on historical accident occurrence in Hamilton County, Tennessee. The use of weather forecasts, roadway geometrics, and aggregated variables aids in creation of predictions for future accident occurrence. Additionally, an application is presented for use by local law enforcement and emergency services to assist resource deployment based upon predictions.

Grantor dc:publisher

University of Tennessee at Chattanooga

Author dc:creator

• Way, Pete

Contributors dc:contributor

• Sartipi, Mina
• Kandah, Farah; Ward, Michael
• College of Engineering and Computer Science

• Engineering mathematics
• Traffic accidents
• Traffic accident investigation

Licence

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language

English, eng

Repository record dc:identifier

https://scholar.utc.edu/theses/659

OAI identifier oai:identifier

oai:scholar.utc.edu:theses-1827