CloudMLOps - Data Pipeline for Traffic Risk Prediction in Reading, PA

Author: Yuhao Jia, Hanzhi Zhang

We built up a data pipeline for the counts of car crashes prediction model. By automating the data collection and analysis process, we provide real-time or near real-time insights into traffic patterns and risk factors. This can help transportation agencies and emergency services respond more quickly to accidents or other incidents. This is a MUSA Capstone Project.

Check the Prediction map here.

Data Resources

In the musa509s23_team<N>_raw_data bucket, there are three folders. Each folder may contain one or multiple files, depending on the type of data loaded (for example, a shapefile may be stored as multiple files). The folders are as follows:

Folder	Contents
/volumn/	Contains the "traffic volumn" data downloaded from the Pennsylvania traffic counts dataset.
/crashes/	Contains the "car crashes history" data downloaded from the Pennsylvania Crash Information Tool dataset on Pennsylvania Department of Transportation.