Machine Learning applications to understand tendencies in Fatal Collisions
Project scope
Categories
Data analysisSkills
machine learning artificial intelligence text mining predictive analyticsThe Toronto Police Service (TPS) is undergoing continuous improvement efforts to enhance confidence and strengthen ties with our society by providing access to open data for public safety in Toronto.
The Service would like students to identify artificial intelligence and machine learning opportunities for the Fatal Collisions data* available on the Toronto Police Service’s Public Safety Data Portal (PSDP), in order to:
1) Derive insights and patterns, especially among potential relationships between variables, such as demographics, temporal data, impaired driving, DUI, and others
2) Build predictive analytics models
3) Create hot-spot mapping
4) Deliver a final report and/or presentation of findings and recommendations
*Consideration to be given on the use of text mining of street names and free form notes
Leveraging other open data sets, such as City of Toronto, weather-related data, or others to be identified by students, is recommended.
Fatal Collisions and other traffic related data can be found at http://data.torontopolice.on.ca/datasets/fatal-collisions
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