FLPUCI-Datasets

Datasets used in the FLPUCI Framework

This repository includes the following datasets:

• San Francisco Cabs (sanfranciscocabs)
• Roma Taxi (romataxi)
• Sumo Ipanema (sumo_ipanema)
• Next Generation Simulation (ngsim)

To unpack these dataset, run the unpack.sh script or

San Francisco Cabs (sanfranciscocabs), Roma Taxi (romataxi), and Sumo Ipanema

Within these dataset directories, there is a subdirectory named f1_raw_data that contains tar.xz files.

Unpack these files inside the f1_raw_data and delete them from the directory.

Next Generation Simulation (ngsim)

Within this dataset directory, there are tar.xz files.

Unpack the tar.xz, go back to the root directory, and run the handle_ngsim_locations.py script. By doing this, the directory named f1_raw_data will be created with the ngsim raw data files.

This dataset contains four subsets, so the handle_ngsim_locations.py script generates the raw data for one of them.

Then in the FLPUCI project run pre_processing.py script to preprocess the raw data.

Finally, run main.py for the experiments.