The Indiana State Police and the Indiana Management and Performance Hub, the state’s open data portal, have created an interactive data visualization called the Daily Crash Prediction Map which plots information about the crash risk of different roadways throughout the state. The Daily Crash Prediction Map uses machine learning to analyze historical crash data, Census data, traffic information, and data about road conditions and weather to assign a “low,” “medium,” or “high,” risk prediction for every square kilometer of Indiana’s roadways. Users can identify the crash risk of specific addresses, as well as compare how crash risk changes based on time of day.
Predicting the Risk of Car Crashes in Indiana
Joshua New was a senior policy analyst at the Center for Data Innovation. He has a background in government affairs, policy, and communication. Prior to joining the Center for Data Innovation, Joshua graduated from American University with degrees in C.L.E.G. (Communication, Legal Institutions, Economics, and Government) and Public Communication. His research focuses on methods of promoting innovative and emerging technologies as a means of improving the economy and quality of life.
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