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

Vehicular traffic flow simulator in road network, written in pure Python

HiRoNEx: Historical road network extractor: A python tool for automatic, fully unsupervised extraction of historical road networks from historical maps.

OSM XML file to road graph converter

This repository contains the source code for the Global Unified Transportation Network (GUTN) project, which integrates various public transportation ticket payment systems with the Pi Network. The codebase includes modules for user authentication, ticket purchasing, itinerary management, and real-time transportation updates.

Source code for superblockify

Convert Shapefile to the Network and find number of shortest paths

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.

python scripts to parse visum .net and .dmd file to pandas and store as .csv files

IFN-Transport is an extension of Ideal Flow Network (IFN) for transportation networks synthesis and analysis.

Probabilistic graphical models to learn Origin-Destination matrices in transportation networks using TensorFlow

Benchmark RL environment for infrastructure maintenance planning

Network-wide estimation of traffic flow and travel time with data-driven macroscopic models

Data-driven neural models to learn and predict travel behavior in transportation networks using PyTorch

Estimates travel demand and traffic in Andorra based on combination of telecom data and traffic counts using a Gaussian Bayesian Network Model. JS front end maps the results over time.

A simple scripts to get GTFS from OSM by area id

Stringline plots for buses and trams in Wrocław

TransNet Generator is a Python library for generating transport networks from GTFS data. The library provides a convenient and efficient way to generate transport network graphs from one or multiple GTFS directories to a graph format, which can be used for network analysis and visualization.

strategic transport modelling framework for Active Transport (i.e. cycling and walking modes) as well as emerging micro-mobility modes

Algorithmic Development of Transportation Networks