Skip to main content

Viva drives NYCDoT road safety data collection pilot

Viva sensors installed at 12 locations in Brooklyn, Bronx, Manhattan and Queens
By Adam Hill April 19, 2023 Read time: 2 mins
The pilot will help NYCDoT understand how people on different modes use the streets (© Leo Bruce Hempell | Dreamstime.com)

Viva sensors are being used in a New York City pilot to improve road safety.

New York City Department of Transportation (NYCDoT) has put Viva (the US name for UK firm VivaCity) sensors on streetlight poles in 12 locations in Brooklyn, Bronx, Manhattan and Queens to see if they are cheaper and more accurate than manual traffic counts.

The technology collects street activity data via camera, then classifies and counts road users in real time.

This will help "to generate detailed reports that will allow planners to better understand the uses of city streets and inform future street redesigns", NYCDoT says.

The Viva sensors identify and count up to nine different modes of travel, including pedestrians, cyclists, cars, buses, trucks and e-scooters.

They can see seasonal changes in travel patterns, show path and speed of travel, and detect near-miss incidents and turning movements.

Viva will provide street activity count data by analysing video footage from temporarily installed cameras or existing live feeds.

The agency will use the data to analyse the effectiveness and safety of its initiatives and street designs, and to prioritise projects for areas most in need of street improvements.

The sensor information will also help NYCDoT to better understand how people use the streets themselves - for instance, accessing bus stops or loading zones, visiting businesses, or preferred places to cycle.

NYCDoT insists: "The pilot prioritises privacy, identifying data-collection methods that protect privacy by removing identifying information of roadway users and discarding video frames after counts are collected on the device."

The project is a partnership between NYCDoT, New York City’s Office of Technology and Innovation and City University of New York.

It was funded primarily by a grant from the New York State Empire State Development Corporation, with support from Federal Raise and Safe Streets For All grants.

For more information on companies in this article

Related Content

  • MTA looks to Lidar and AI
    July 7, 2022
    New York's transport authority turns towards new tech to solve age-old signalling issues
  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a
  • When traffic data can get it totally wrong
    November 30, 2021
    How can a highway devoid of traffic provide data suggesting it is filled with vehicles crawling along? Michael Vardi of Valerann provides an insight into how data can easily be skewed - and what can be done to prevent it
  • Self-driving car safety perspectives
    June 2, 2015
    At yesterday’s Opening Plenary, Chris Urmson’s keynote speech dealt with the reality of driverless cars on our roads. By far and away their greatest benefit to mankind will be the potential to achieve an incredible saving of life and injury on the roads, as Urmson, director of the Google Self-Driving Car program, revealed to delegates. In response to an Associated Press article last month disclosing that self-driving cars have been involved in four accidents in the state of California, Urmson revealed th