vehicle_traffic_in_Norway

A study of vehicle traffic in Norway based on data obtained via API of The Norwegian Public Roads Administration

Files and folders:

1. traffic_analysis.ipynb - Jupyter notebook with all Python codes (basically one may copy only this file).

   NB! Some sections (section "Polling all TRPs in Norway" runs ca. one hour) take a long time to run

2. ./figures - it is where all the figures are saved

3. ./maps_for_kepler.gl - folder with two maps for kepler.gl (.json) and examples (.png):

   • TRP_map.json - map of TRPs (Traffic Registration Points) in Norway
   • YoY_traffic_comparison_map.json - maps with YoY comparison of vechichle traffic in Norway (2020.07.27 to 2019.07.27)

   Notes on use of Kepler.GL (very easy):

   1. go to Kepler.GL
   2. press "GET STARTED"
   3. drag and drop a json

4. *.csv:

   • TRP.csv - a csv file with coordinates of TRPs in Norway. May be visualized by Kepler.GL
   • TRP_YoY.csv - a csv file with coordinates of TRPs in Norway. May be visualized by Kepler.GL

5. *.pkl - pickle files with data and results (2020.07.27). Unfortunately, it is not possible to upload the datasets listed below due to github restrictions (they are > 25 MB) It is not obligatory to copy them, as they will be created during the notebook run. However, it may take some time: section "Polling all TRPs in Norway" takes ca. hour run.

   • "TDD_Randaberg.pkl" - traffic data for TRPs in Randaberg kommune
   • "TDD_ALL.pkl" - traffic data for all TRPs in Norway
   • "norway_vehicles.pkl" - processing results
   • "norway_bicycles.pkl" - processing results

6. requirements.txt - list of the required packages. the packages can be installed (in JupyterLab) by: !pip install -r requirements.txt