A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem

Advanced multiple object tracker using dlib and OpenCV.

A tutorial on using C++/Cplex for OR problems. The tutorial is intended to be useful for every OR practitioner with an intermediary knowledge of coding.

Optimization and Operations Research With Python

A Julia package for operations research problems

An intelligent traffic monitoring system that collects traffic flow and metrics including average speed and vehicle counts for each road. Features real-time data visualization with interactive dashboards and an integrated AI Agent chatbot for querying processed traffic data in real-time.

This repository documents the MATLAB implementation of several day-to-day (disequilibrium) dynamic traffic assignment models, e.g. based on stochastic choice models, bounded rationality, and information sharing behavior

Transportation Model for an optimal strategy for distributing a commodity from a group of supply centers to various receiving centers. Solved in C# Windows Form Application

Transportation resources optimization solver

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.

Failure prediction for APU’s on a Metro System Research project source code

Misc functions/libraries implemented in Go.

Solving multi-modal optimization problem (Truck and Freighter) during master 2 class about transport optimization

This is an Operations Research Course Project. This is a QT GUI that implements Knapsack and Transportation Cost Problem. We used Gurobi as A Solver.

Optimize transportation planning with the Furness Method's Python Implementation and predict future trip distribution in residential areas using this algorithmic approach. This repository provides a detailed README, Python script, and examples for easy implementation.

Transportation Problem in operational research with efficiency and precision. By implementing cutting-edge algorithms and user-friendly interfaces, we've developed a tool that optimizes the allocation of resources and minimizes transportation costs. Simplify your supply chain management and boost your operational efficiency with our solution.

Python and C++ solutions for some of the mathematical programming problems.

Program to find the optimal solution for a given trasportation problem using the MODI method.