FleetPy: Input Data for Manhattan Case Study

This repository contains simulation data for simulation framework `FleetPy` for the case study of Manhattan, New York.

After downloading the data and cloning the FleetPy repository (https://github.com/TUM-VT/FleetPy) the data can be used by

1) copying the content of this repository into the `FleetPy/data` folder, and

2) adjusting the FleetPy config file to use the corresponding data.

The demand data is based on the NYC taxi and limousine commission (TLC) trip record data. The raw data is available at https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page.

This data uses taxi trips in the week of 11/11/2018 to 11/18/2018. The data is filtered to only include trips that start and end in Manhattan.

The network is extracted from OpenStreetMap (OSM) data. The OSM data is filtered to only include the Manhattan area.

See the included README_Manhattan.md for more details.