The Ohio State University: The deadly impact of urban streets that look like highways

The Ohio State University: The deadly impact of urban streets that look like highways. “Serious auto crashes in urban areas are more likely on city streets that look to drivers like highways, new research suggests. The study used a novel approach: Ohio State University researchers applied machine learning techniques to analyze more than 240,000 images of road segments in Columbus, Ohio, taken from Google Street View. The goal was to see what the roads looked like to drivers and whether that was linked to serious and deadly crashes.”

Dutch News: No good and bad names: Rotterdam sets up street history database

Dutch News: No good and bad names: Rotterdam sets up street history database. “Rotterdam city council is to make sure all streets within its boundaries link to a database explaining where the name came from, to boost awareness of the city’s colonial and slavery heritage. But rather than divide the city into ‘good’ and ‘bad’ streets, the council has voted give all 6,402 roads a detailed explanation instead.”

Computerworld: Seeing the signs (and locating them) with Google Street View and deep learning

Computerworld: Seeing the signs (and locating them) with Google Street View and deep learning. “Street signs are everywhere, but where they are precisely is not always known by the local government authorities that manage them. Councils and governments keep datasets of all signs in an area – a record of location data is mandatory – but as roads are redeveloped they are increasingly incomplete and due to errors by humans doing field surveys, often inaccurate.”