Skip to main content

XYZT.ai adds time to the mobility equation

Timestamps on critical ITS data allow organisations to drive additional insights
By Andrew Bardin Williams April 29, 2024 Read time: 2 mins
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.”

For more information on companies in this article

Related Content

  • One eye on the future
    December 12, 2013
    Mobileye’s Itay Gat discusses the evolution of monocular solutions for assisted and autonomous driving with Jason Barnes. Founded in 1999, Israeli company Mobileye manufactures and supplies advanced driver assistance systems (ADAS) based on its EyeQ family of systems-on-chips for image processing for solutions such as lane sensing, traffic sign recognition, vehicle and pedestrian detection. Its products are used by both the OEM and aftermarket sectors. The company’s visual interpretation algorithms drive
  • Bristol’s buses trial CycleEye detection system
    July 7, 2017
    Fusion Processing’s Jim Hutchinson looks at a two-year trial of the company’s cyclist detection system. Is cycling in a city dangerous? Well, that depends where you are and how you view statistics. Malmö is far more bike-friendly than Mumbai and the risk can either be perceived as small - one death per 29 million miles cycled in the UK in 2013 - or large - that equated to 109 deaths in the same year. Whatever your personal take on the data, the effect of these accidents can be felt indirectly too. News of c
  • Debating the future development of ANPR
    July 31, 2012
    What future is there for automatic number plate recognition? Will it be supplanted by electronic vehicle identification, or will continuing development maintain the technology's relevance? In recent years, digitisation and IP-based communication networks have allowed Automatic Number Plate Recognition (ANPR) to achieve ever-greater utility and a commensurate increase in deployments. But where does the technology go next - indeed, does it have a future in the face of the increasing use of, for instance, Dedi
  • Legalities of in-vehicle systems and cooperative infrastructures
    February 1, 2012
    Paul Laurenza of Dykema Gossett PLLC discusses the paths which lawmakers may go down on the route to making in-vehicle systems and cooperative infrastructures a reality. The question of whether or not to mandate in-vehicle systems for safety and other applications is a vexed one. There is a presumption on some parts that going down the road of forcing systems' fitment is somehow too domineering or restricting. Others would argue that it is the only realistic way of ensuring that systems achieve widespread d