Machine learning to estimate when bus and bike lanes blocked

Mar 16, 2018

Frustrated with vehicles blocking bus and bike lanes, Alex Bell applied some statistical methods to estimate the extent.

Sarah Maslin Nir for The New York Times:

Now Mr. Bell is trying another tack — the 30-year-old computer scientist who lives in Harlem has created a prototype of a machine-learning algorithm that studies footage from a traffic camera and tracks precisely how often bike lanes are obstructed by delivery trucks, parked cars and waiting cabs, among other scofflaws. It is a piece of data that transportation advocates said is missing in the largely anecdotal discussion of how well the city’s bus and bike lanes do or do not work.

Favorites

This is an American Workday, By Occupation

I simulated a day for employed Americans to see when and where they work.

Famous Movie Quotes as Charts

In celebration of their 100-year anniversary, the American Film Institute …

Visualizing the Uncertainty in Data

Data is an abstraction, and it’s impossible to encapsulate everything it represents in real life. So there is uncertainty. Here are ways to visualize the uncertainty.

How We Spend Our Money, a Breakdown

We know spending changes when you have more money. Here’s by how much.