This repository contains implementations of three trajectory simplification algorithms: Down-sampling, Douglas-Peucker, and O-EPP. Those algorithms were used to measure the influence of trajectory simplification on ship CO2 emission estimation.

First, required dependencies need to be installed.

pip install -r requirements.txt

Next, you can run notebooks to clean raw AIS data and apply simplification:

• pynotebooks/01. clean_input - it reads sample trajectory from data/raw/sample_ship.csv and apply cleaning function and downsamples to every 10 minutes. Result is stored in data/processed/cleaned.csv
• pynotebooks/02. simplify_trajectories - It applies simplification algorithms and put results into data/processed folder

Data can be found in data folder:

• data/raw - contains sample input
• data/processed - contains results from running notebooks

data/raw/sample_ship.csv contains historical AIS data for one ship, taken from the Danish Maritime Authority website (https://dma.dk/safety-at-sea/navigational-information/ais-data).