There are 6 repositories under transportation-network topic.
A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem
SVG-based Tool to Animate Maps of Public Transport Networks
An open-source tool for calculating spatial indicators for healthy, sustainable cities worldwide using open or custom data.
HiRoNEx: Historical road network extractor: A python tool for automatic, fully unsupervised extraction of historical road networks from historical maps.
Source code for the paper "Growing urban bicycle networks", exploring algorithmically the limitations of urban bicycle network growth
This repository documents MATLAB implementation of a dynamic user equilibrium solver, including a dynamic network loading sub-routine
OSM XML file to road graph converter
Open source fork of the sDNA (Spatial Design Network Analysis) software
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
Convert Shapefile to the Network and find number of shortest paths
Source code for superblockify
Ideal Flow Network (IFN) is a Python module and library to compute network efficiency to analyze transportation network, communication networks and data science..
Transport Automation System to automate the transportation
The grid dataset, provided by DFG research unit FOR2083
Automated detection of gaps in bicycle networks: source code for IPDC procedure
Repository for the Data Science Campus Access to Services project (linked to datasciencecampus/graphite and datasciencecampus/propeR)
python scripts to parse visum .net and .dmd file to pandas and store as .csv files
Travel time prediction from GPS observations using an HMM
IFN-Transport is an extension of Ideal Flow Network (IFN) for transportation networks synthesis and analysis.
This solution was written in python and is based on the vehicle routing problem
Analyzing transportation graph from NYC data
Probabilistic graphical models to learn Origin-Destination matrices in transportation networks using TensorFlow
API pour le réseau Astuce, réseau de transports en commun de la Métropole Rouen Normandie. Permet de récupérer les horaires en temps réel ainsi que la structure du réseau.
Benchmark RL environment for infrastructure maintenance planning
Modelling of London's Tube network: shortest path function; graph link analysis
This project attempts to estimate NYC's population through centrality measures performed on the Subway system. This was an independent class project and the README is an adapted version of the final paper.
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.
The transport layer of MQTT protocol go implementation
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
Exploring mobility patterns in US cities
When Theory Meets Practice: Graph Theory in Paris Metro case
Hacktoberfest Ionic side project to provide all-in-one Hong Kong transport arrival estimations from public data.