Triplinker is a Python package to link vehicle-for-hire trips together into driver work shifts, allowing statistics of the driver population to be estimated from trip origin-destination (OD) records. It is authored and maintained by the Big Data Innovation Team at the City of Toronto.
While Triplinker can be used on any set of origin-destination data, it was built for analyzing OD data from ridesourcing platforms like Uber and Lyft, as part of a technical report for the the City's Vehicle-for-Hire bylaw review. Consequently, it assumes a variable supply of active vehicles rather than a fixed fleet of vehicles operated by drivers with regular work shifts (as with eg. taxi companies).
networkx>=2.2
numpy>=1.16
pandas>=0.24
tqdm>=4.32
pytest>=5.0.0
python-coveralls>=2.9
pytz>=2018.3
ortools>=6.7
To import triplinker, add this folder to the Python PATH, eg. with
import sys
sys.path.append('<FULL PATH OF bdit_triplinker>')
To test the package, run the following in this folder:
pytest -s -v --pyargs triplinker
Triplinker is licensed under the GNU General Public License v3.0 - see the
LICENSE file.