Miovision Debuted Mateo AI for Intelligent Mobility
The new AI agent generates visual traffic data and performance reporting for infrastructure management.
Updated on Oct. 5, 2026 in Artificial Intelligence
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Miovision debuted its Mateo AI agent at the ITS World Congress in Gangneung. The tool is designed to assist traffic professionals by converting complex data into visual charts, maps, and safety metrics.
Why it matters
Traffic professionals currently spend significant time on manual data collection and reporting. Automating these workflows aims to improve efficiency in how cities manage intersection performance.
The Mateo AI agent functions by transforming siloed traffic data into automated visual outputs and executive performance summaries. It integrates with the Traffic Studies platform for Miovision One to combine temporary study workflows with permanent intersection management.
The players
Miovision
Miovision is a technology company that provides platforms for managing traffic infrastructure and collecting mobility data.
ITS World Congress
The ITS World Congress is an international event dedicated to showcasing advancements in intelligent transportation systems and smart mobility.
The details
The Mateo AI agent streamlines the creation of visual outputs like maps and safety metrics for infrastructure planners. Simultaneously, the updated Traffic Studies for Miovision One platform consolidates the entire lifecycle of traffic studies into a single, unified interface.
Timeline
October 4, 2026: Mateo AI and Traffic Studies were highlighted at the ITS World Congress.
The Tech Race
This development represents a broader industry shift toward automating the traditionally manual processes of infrastructure oversight. By integrating AI agents like Mateo, the company moves to replace static data collection methods with dynamic, real-time performance analytics.
For city planners and traffic engineers, these tools offer a path to significantly faster reporting and more intuitive visualization of intersection safety. The integration of study workflows into one interface aims to reduce the daily administrative burden on municipal transportation teams.
The takeaway
Automating traffic studies can significantly shorten the time between data collection and actionable urban planning. Professionals in the field should evaluate how AI-assisted metrics might replace legacy spreadsheet-based reporting for future projects.
Further reading
Learn more about evolving trends in Artificial Intelligence.
Source note: This article includes information reported by ITS International.
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