30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos ma…

Tutorials and information on the Julia language for MIT numerical-computation courses.

18.06 course at MIT

A Julia package for solving multi-objective optimization problems

Contains all code from paper: "Data-Driven Estimation in Equilibrium: An Inverse Variational Inequality Approach"

Inverse Variational Inequalities along with optimization problems arising in Traffic networks

Apache ECharts is a powerful, interactive charting and data visualization library for browser

Julia package for finding robust shortest paths

Julia package for finding traffic user equilibrium flow

Solving variational inequality problems, modeling via JuMP

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

An optimized graphs package for the Julia programming language

Admm-based Interior Point Method for Linear Programming

Simple benchmarks of Dijkstra algorithm among C++, Go, Julia, Python, JavaScript, Rust and Kotlin

aequilibrae - Python package for transportation modeling

Common used path planning algorithms with animations.

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

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians a…

Library for the analysis of networks

Network Analysis in Python

🌎 Large-scale WebGL-powered Geospatial Data Visualization analysis engine.

OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

a script for DUE.

This repository documents MATLAB implementation of a dynamic user equilibrium solver, including a dynamic network loading sub-routine