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

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.

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.

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.

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

Can Quebec's published collision reports predict how badly a crash turns out? They carry real but small information, almost all of it about who was involved rather than the road. Four independent arguments establish the limit. Python package, CLI, interactive explorer, Quarto book.

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

Twenty years of Toronto's killed-or-seriously-injured collisions, analysed at the correct grain. The published file is one row per person, not per collision — counting rows overstates every headline figure by 2.3x to 3.7x.

Virginia DMV Traffic Crash Data - found in pdf format, converting to the web. Original url: http://dmvnow.com/safety/#crash_data/index.asp

An interactive, single-file web map for visualizing traffic crash data.

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).