A web scraping API written in Python to fetch data from the Department of Transportation's https://safer.fmcsa.dot.gov

An API to scrape data from the Department of Transportation's Safety and Fitness Electronic Records (SAFER) System.

Openly licensed pedestrian environment images and TCAT/TDEI-related utilities and tools

A sidewalk routing, accessibillity preferences-aware routing "app" for mobile web.

This form generates DCAT US version 1.1 JSON files to be used in data packages.

AVIV ScoutRoute Long Form Quest Definition schema, examples, creator utility, and quest definitions

A Python library used by a queue job runner of a similar name. Calculates the incline of edges from DEM raster data and tags each edge with incline.

An API for applications consuming data from and publishing data to the Transportation Data Equity Initiative (TDEI) data system. This API supports consuming and publishing of GTFS-Pathways, GTFS-Flex v2 and OpenSidewalks data

User-facing documentation site and machine-readable knowledge base for TCAT projects

The Android Version of AVIV ScoutRoute, formerly GoInfoGame, a mobile data field collection app for TDEI/Workspaces.

Python libs for accessing Azure

JSON schemas for public APIs exposed by the TDEI platform

A GTFS Pathways-aware version of the ID editor used within TDEI Workspaces

GTFS Pathways editor in JavaScript, based off the OpenStreetMap iD Editor

Python queue job runner service to validate an OSW file that is uploaded against the OSW schema. Logic is contained in another lib of a similar name.

data-driven simulation platform to process USDOT datasets, simulate BSM exchanges, and inject & detect attacks.

Performance/KPI/metrics dashboard for the TDEI system

The TDEI extract load (ETL) service to unzip dataset files and load the records to the database for further processing, storage and operations..

The TDEI Data Backend Service is responsible for processing dataset query operations, including spatial and non-spatial tasks such as bounding box operations, spatial joins, road information tagging, and dataset unions.