Pavement condition prediction for communities: A low-cost, ubiquitous, and network-wide approach

• Processed data: result/all_info.csv
• Model selection with repeated nested cross validation: model.py
• Final model tuning with repeated cross validation: final_model.py
• Final model results: final_model.ipynb
• Result folder includes final all-year PCR and PCR change models and the road segment in Dormont, PA.