dyntapy 0.1.0

Macroscopic Static and Dynamic Traffic Assignment in Python

Dyntapy - Dynamic Traffic Assignment in Python

Provided functionalities:

• Network generation from OSM using OSMnx complying with GMNS attribute names.
• Static Assignments (deterministic user equilibrium: FW, DialB, MSA; stochastic, uncongested: Dial's Algorithm)
• Dynamic User Equilibrium using the iterative link transmission model [^1]
• Visualization of real and toy networks with Static and Dynamic attributes using Bokeh, including bidirectional flow visualization

[^1]: convergence according to the provided excess cost criteria cannot be guaranteed for a reasonable amount of iterations

There are demo tutorials available that you can run in Binder.

How to install

If you want this to be part of a particular conda environment, activate it first.

conda activate your-environment

from PyPi

dyntapy is available from PyPi

python -m pip install dyntapy

from this repository

Download the repository we now can install the package with

python -m pip install -e path-to-folder

pip automatically pulls all the dependencies that are listed in the setup.py. Using -e makes the repo editable. If you make changes or add a functionality it will be available in a fresh session or if you reload the module. verify that importing works as expected, open the interpreter

python

and try

import dyntapy

voila!