# bstabler/TransportationNetworks

Transportation Networks for Research

Repository: https://github.com/bstabler/TransportationNetworks
Canonical: https://ross.abutalabs.com/products/transportationnetworks
Language: Jupyter Notebook
License Family: other
Topics: networks, dataset, traffic
Last push: 2025-06-19T23:47:45+00:00

## Health v2 (maintenance only)
Score: 44/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 27, release rhythm 35, longevity 100
- inputs: {"age_days": 3826, "days_push": 440, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1049, forks 483 (observed 2026-08-28T04:03:22.641451+00:00)

## What it is
A repository of transportation network datasets for research, primarily benchmark networks for the traffic assignment problem. It is the maintained successor to Hillel Bar-Gera's TNTP collection.

## Use cases
- find benchmark data for traffic assignment algorithms
- download transportation network datasets for research
- test network flow algorithms on real road networks
- compare traffic assignment solvers on standard networks
- get sample networks for transportation modeling coursework

## When to choose
- you need standard benchmark networks for traffic assignment or transportation research
- you want real-world road network data with demand files for algorithm testing

## When to avoid
- you need live or real-time traffic data
- you need data for commercial use, since datasets are for academic research only
- you need a software tool or library rather than raw data

## Facets
- artifact type: dataset
- maturity: active
- function: data-science, simulation
- domain: data-science
- platform: cross-platform
- tags: transportation-networks, traffic-assignment, benchmark-datasets, transportation-research, network-data, algorithms, research

## Member repositories
- bstabler/TransportationNetworks (main) score 44

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.641451+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:00:28.354274+00:00, confidence not recorded.
  - readme: https://github.com/bstabler/TransportationNetworks (fetched 2026-08-28T04:03:22.641451+00:00, sha f0c42756fa1a)
- Data as of 2026-08-30T08:39:29.467469+00:00.