- Contributors:
- Archie Gertsman (arkadiy2@illinois.edu)
- Lloyd Fernandes (lloydf2@illinois.edu)
- Project director: Richard Sowers (r-sowers@illinois.edu, https://publish.illinois.edu/r-sowers/)
- Copyright: Copyright 2019 University of Illinois Board of Trustees. All Rights Reserved.
- License: MIT
The recently-release pNeuma Dataset (at https://open-traffic.epfl.ch/) contains GPS traces of Athens traffic, annotated with vehicle type. We would like to see if we could algorithmically distinguish between car and taxi drivers by "driving styles"
.
├── README.md # you are here
├── src # source code that powers the ml
│ ├── data_loader.py
│ ├── feature_eng.py
│ ├── modeling_helpers.py
│ └── tuning_objective.py
├── ml # data prep, training, testing, tuning, etc.
│ ├── data_processing.ipynb
│ ├── optuna_tuning.py
│ ├── permutation_feature_importance.ipynb
│ └── simple_workflow.ipynb
├── analysis # descriptive stats, data visualization
│ ├── stats
│ │ └── descriptive_stats.ipynb
│ └── vis
│ ├── code
│ │ ├── map_maker.ipynb
│ │ └── map_maker_selected_seg.ipynb
│ ├── data
│ │ ├── 20181024_d1_0830_0900.csv
│ │ └── edge_data_block4.csv
│ ├── img
│ │ ├── Athens.png
│ │ ├── Athens_closeup.png
│ │ ├── edge_id.png
│ │ └── roadstructure.png
│ ├── tex
│ │ ├── aggregate.tex
│ │ ├── firstlines.tex
│ │ ├── observationframe.tex
│ │ └── ways.tex