Python package provides powerful tools for creating and managing Ideal Flow Networks (IFN). An Ideal Flow Network is a strongly connected network where the flows are balanced.

An open-source, cross-platform, lightweight, and fast Python path engine for networks encoded in GMNS.

Codes in this repository compute the traffic assignment using the algorithms of: (1) Frank-Wolfe Algorithm with Exact Line Search/step size of (2 / (k + 2)); (2) Conjugate Direction Frank-Wolfe Algorithm; (3) Path-based Projection Gradient Algorithm with Exact Line Search/fixed step size

This python-based script computes the traffic assignment using the Frank-Wolfe (FW) method. The entire code is developed by Ashkan Fouladi and Vahid Noruzi based on python.

Traffic assignment

Using IFN to simulate the trafiic Conditions in VIT Vellore

Python implementation of the method of successive averages (MSA) for traffic assignment.

Network Disturbance System

Route choice simulator.