transportation-problem

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.

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.

A Julia package for operations research problems

Optimization and Operations Research With Python

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.

Autonomous Agent Min-Cost Max-Flow (MCMF) Solver via Successive Shortest Path and Residual Network SPFA

Autonomous Agent Min-Cost Max-Flow (MCMF) Solver via Successive Shortest Path and Residual Network SPFA

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

Fork of wilhelmcs/transportation-cost implementing North-West Corner, Vogel, and Russell initial transportation solutions in Python.

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.