XYZT.ai adds time to the mobility equation

Timestamps on critical ITS data allow organisations to drive additional insights
Classification & Data Collection / April 29, 2024
By Andrew Bardin Williams
Hamburg mobility analytics vehicle movements (image: XYZT.ai)
Data from Hamburg (image: XYZT.ai)

Location information has revolutionised the transportation industry, giving organisations pinpoint accuracy of vehicles, hazards and other road users across a variety of ITS applications dealing with traffic monitoring, autonomous driving, collision avoidance, pedestrian safety and others.

Belgian company XYZT.ai has taken this visibility one step further by adding timestamps to critical ITS data, allowing organisations to drive additional insights that take travel time and time of day into account. The company then presents this data in a visually appealing way that makes it easier for users to understand and work with the data in a meaningful way.

The City of Hamburg, for example, uses XYZT.ai for mobility analytics with floating vehicle data from Inrix.

According to Bart Adams, the company’s CTO, most companies look at data in the aggregate to identify trends and patterns - but it’s also important to be able to look at individual events that take place at a certain time. This includes a fleet manager tracking delivery timeframes, a delivery service optimising routes during the morning rush hour or a traffic engineer auditing travel times displayed on variable message signs. Adding time on top of location data and then presenting it in a way that is easy to consume makes this possible.

“There are billions of data points generated across a city every day,” said Lida Joly, XYZT.ai CEO, at last week's ITS America Conference & Expo 2024 in Phoenix, AZ. “It’s important that people are able to visualise this data in an effective way that allows them to make cities safer and better.”

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