vision-zero

Карта ДТП v1.0. 👉 База знаний о проекте: https://github.com/dtpstat/dtp-project/wiki

The Safer Streets Priority Finder enables you to analyze the risk to bicyclists, pedestrians, and motor vehicles on your community’s roads.

roadway.report is a map of every traffic death in the USA

The technology that powers the City of Austin's Vision Zero program

Бекенд и парсер. 👉 База знаний о проекте: https://github.com/dtpstat/dtp-project/wiki

Extract data from APD news site.

Analysis and visualization of traffic crash data published by NJ DOT and NJ State Police

Using Predictive Analytics to Improve Traffic Safety, by Team Knight Rider of NYU Stern MSBA Class of 2019

Your dangerous intersection, rebuilt as a miniature and remodeled with funded fixes.

Vision Zero Report Card — 7 years of NHTSA FARS truck-involved fatalities across 19 US cities. Reproducible Python pipeline + filtered dataset under CC BY 4.0.

Privacy-preserving pedestrian crossing safety analytics (computer vision, aggregate-only, GDPR/AI-Act by design). Anonymous road-safety dashboard demonstrator - Poland.

Select an official NYC street intersection and get a sourced safety report — live NYPD collision data plus Vision Zero Priority Zone overlap, with an optional AI explanation. EZStreet, built for the NYPL/MLH Built for NYC AI Hackathon.

Grades the evidence about dangerous street corners. Official records, press, residents, and an AI visual audit, ending in a drafted letter to the right Supervisor.

Download, filter, and aggregate NHTSA FARS fatal-crash data with zero non-stdlib dependencies. Companion to the Vision Zero Report Card.

Geospatial AI for Vision Zero / Toward Zero Deaths — H3 crash hotspot detection, CARTO spatial analytics, and Gemini natural-language queries for state DOT safety programs (Hawaii DOT, Minnesota TZD)

The Commonway System: an open, evidence-based pattern language for roads and streets. A cross-referenced guidebook of street typologies, intersections, and design elements, every claim cited to a primary source, plus a catalog of retrofit strategies for streets that already exist. Built with SvelteKit.

Central directory for localized city crash engines. Interconnecting custom regional safety mapping, road segment analytics, and accident exposure engines.

This project documents various R scripts and notebooks examining a High Injury Network (HIN) conducted for four counties that encompass the core of the San Francisco Bay Area (San Francisco, Santa Clara, Alameda, and San Mateo Counties).

A decentralized, edge-computed sensor telemetry network utilizing behavioral game theory and vehicle aging profiling to establish ultra-fast traffic deterrence without expanding government infrastructure.