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:checkered_flag: 2D car crashing game armageddon
Prediction of severity of Car Crashes using Machine Learning
Pinpointed the primary contributory causes of car accidents which were not related to human error.
Data analysis of variables within car crashes in Pennsylvania's Allegheny county
Analysis of when and where New York City (NYC) vehicle collisions occur with a focus on collisions involving pedestrians and cyclists.
This study creates machine learning models to predict the seriousness of car crashes using 2019 and 2020 crash reports from the publicly accessable database maintained by the Chicago Police Department. A car crash is considered serious if the crash results in an injury or the car is towed due to the crash. Models use categorical features that describe conditions at the time of the crash and crash causes to predict the required target. The current focus is to classify whether a crash results in an injury. All machine learning models are trained, validated, and tested on randomly split 2019 crash reports. The best model (along with all others) are then tested using the full set of 2020 crash reports.
🗺️ Conceptual software model for analyzing and predicting potential vehicle accident hotspots in towns, cities, and highways in-between.