Skip to main content

Ford and StreetLight Data combine on safety  

Collision data and travel patterns are overlaid to see where road improvements are needed
By Adam Hill October 16, 2020 Read time: 2 mins
Bike, pedestrian and vehicle safety issues can be tackled, the two firms say (© Monopoly Monopoly | Dreamstime.com)

Ford Mobility and StreetLight Data have launched a data package which they say offers insights into road safety for departments of transportation and local authorities.

Safety Solutions brings together Ford’s Safety Insights tool - which uses collision data and connected vehicle input on near misses to find potential accident hotspots – and StreetLight’s Software as a Service (SaaS) platform StreetLight InSight, which supplies travel pattern data based on smartphones and navigation devices in connected vehicles, trucks and Internet of Things devices.

The new bundle can overlay crash information with vehicle, bicycle and pedestrian metrics to work out in which locations authorities should act to improve traffic safety.

“This kind of collation and analysis was previously very time-consuming and often lacked any visual representation to help planners and engineers rapidly identify, analyse and recommend countermeasures for particular safety concerns,” says Cal Coplai, product owner of Ford Mobility’s Safety Insights.

In a separate announcement, StreetLight’s data analysis has revealed that Covid-19 has changed traffic patterns in the US, shifting the morning rush hour in particular. 

Instead of the typical sharp increase in morning travel, followed by a drop and then an afternoon peak, the vehicle miles travelled (VMT) analysis shows weekday traffic building gradually toward a more sustained afternoon high.

In cities there are still ‘peak PM’ commutes – but the peaks are less pronounced.

Washington, DC, now has a slightly earlier peak for PM travel than during the same period in 2019, while Los Angeles and San Francisco have a “mini rush hour” just after lunch.

PM congestion begins earlier - but ends sooner – and there is more vehicle travel around midday than was the case last year.

For more information on companies in this article

Related Content

  • 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
  • IBTTA's Pat Jones: 'It’s about expanding people's comfort zone and mine as well'
    October 24, 2024
    For two decades, Pat Jones, has been executive director and CEO of IBTTA. As he approaches retirement at the end of this year, he talks to Adam Hill about a career spent ‘stretching and growing’ – and helping others to do the same
  • Caltrans trials Xerox’s Passenger Detection System
    October 30, 2015
    Xerox’s Passenger Detection System has been trialled in California and compared with the state’s team of human counters giving some interesting results, as Colin Sowman discovers. Like others adopting high-occupancy and high-occupancy vehicle (HOV) lanes for congestion management, Caltrans has faced challenges with compliance in what has been effectively an ‘honour system’ with drivers trusted to set their tags correctly or comply with the multi-passenger requirement.
  • Innovation without the chaos
    July 23, 2025
    Effective governance is required to ensure that artificial intelligence remains an asset rather than a liability, says Rafael Hernandez of IntelliRoad. He lays out his case here…