Model generation, system documentation (i.e. the report), and assorted helper utilities for the Probabilistic Routing-Based Injury Avoidance Navigation Framework for Pedalcyclists Project.
This is a rudimentary custom machine learning framework using scikit-learn and pandas.
This code (mostly automatically) manages model generation and validation/evaluation (train+test on TxDoT Crash Data), as well as scoring navigation routes (based on Geo-JSON).
Start with the cyclesafe server project, which will manage all dependencies.
This repo corresponds to the Scoring Application and Modeling Application in the Architecture overview documentation.
See the Contribution Guidlines .
The docs directory contains:
- articles: Developer writeups on interesting decisions and operations.
- system documentation : Overall systems documentation, technically originated as a masters report, hence the name.