Hasselt, Belgium and Washington DC, USA, 06 January 2025 — xyzt.ai, a leader in advanced spatial-temporal analytics, is excited to announce the release of its new Movement Path Data feature, designed to revolutionize traffic flow analytics. This new spatial-temporal data type enables the detailed analysis of vehicle trips on road networks, offering unprecedented insights into transportation patterns, speed trends, and traffic behavior.
What is Movement Path Data?
Movement path data represents vehicle trips, defined by a sequence of road segments travelled. Each trip can include millions of individual vehicle journeys, with data on time, speed, and vehicle attributes such as type or weight class. For example, a trip from the Airport to downtown Atlanta might include segments such as S Terminal Parkway, I-85 North, I-75 North, the Downtown Connector, and Mitchell Street SW.
This new data type enables the upload and analysis of large-scale trip data.
The Benefits of Movement Path Data
Movement path data offers significant advantages for traffic and network flow analysis, with key capabilities including:
- Advanced Traffic Flow Analysis: Analyze traffic patterns with high granularity using xyzt.ai’s spatial-temporal query language. Example queries include:
- "Show only heavy traffic through zip code 30303."
- "Show traffic leaving I-85 North, taking I-75 North, and ending in downtown Atlanta during the morning commute."
- Segment-Level Analysis: Examine traffic flow at the road segment level, including speed trends over time or by hour of the day, and filter by vehicle types.
- Privacy-Focused: Designed to be privacy-safe, movement path data offers a more secure alternative to raw GPS data.
- Comprehensive Analytics: Users can also leverage xyzt.ai's full suite of platform capabilities, including before-and-after analysis, origin-destination analysis, AI-driven natural language queries, trend analytics, and interactive dashboarding.
INRIX Trip Paths Data Support & Beyond
One of the standout capabilities of this release is that it brings INRIX Trip Paths data support to the xyzt.ai platform, which is movement path data derived from floating vehicle data. xyzt.ai is proud to be the only platform that fully supports this data source with the advanced capabilities described above.
Movement path data’s applications go beyond road networks. It can be used to analyze vessel traffic on shipping lanes, track forklift movements in warehouses, monitor public transportation systems such as train routes, analyze energy flow across smart grid networks, or optimize airport operations by tracking the movement of planes, baggage carts, and ground vehicles.
Live Demo at TRB in Washington DC, USA
To showcase the power of this new feature, xyzt.ai will be hosting a live demonstration of the Movement Path Data capabilities at the Transportation Research Board (TRB) Annual Meeting in Washington DC, 05 – 07 January 2025, booth 412. Attendees will have the opportunity to see firsthand how this data type can drive traffic analytics and explore use cases that extend well beyond road networks.
About xyzt.ai
xyzt.ai is at the forefront of spatial-temporal analytics, providing innovative solutions for analyzing and optimizing traffic flow, transportation systems, and complex network data. The platform empowers users to extract valuable insights through advanced querying and analytics, supporting better decision-making and enhanced operational efficiency.
Recognized for its innovation by organizations such as the Open Geospatial Consortium, IDC Innovator and Geoawesomeness Global Top 100 Geospatial Companies xyzt.ai is trusted by various cities and states such as City and State of Hamburg, City of Aachen, and road authorities such as Autobahn GmbH, Straßen North-Rine Westphalia, and more.
For more information, visit www.xyzt.ai
Press Contact:
Lida Joly, CEO