Miovision launches AI traffic studies platform for agencies

Miovision has launched Traffic Studies for Miovision One, bringing temporary traffic study workflows into its wider intersection management platform.

The system is aimed at transport agencies that manage traffic studies through separate tools and manual reporting. It covers project setup, data collection, processing and reporting in one platform, with support from Mateo, Miovision's generative AI assistant for traffic engineering.

Local authorities and transport planners use traffic studies to measure how roads, junctions and crossings are used before making engineering changes. In many cases, those studies rely on temporary field devices and separate software tools, leaving teams to match data sets by hand before they can prepare reports.

According to Miovision, users can ask questions about studies, summarise results, generate reports and identify anomalies more quickly than with existing workflows. Reporting also covers pedestrians and cyclists as well as vehicles, reflecting the broader mix of users now tracked in urban transport planning.

The launch extends the scope of Miovision One, which Miovision positions as a broader traffic management platform for permanent intersection operations. By linking temporary traffic studies with permanent intersection data, it aims to give agencies a single view of how individual studies relate to conditions across a road network.

Kurtis McBride, chief executive officer of Miovision, said: "Until now, data from temporary traffic studies has remained separate from Intelligent Transportation System (ITS) solutions.

"Traffic Studies for Miovision One brings temporary and permanent traffic data together on a single platform, helping agencies make faster, better-informed decisions across their network."

Workflow changes

The product includes built-in project tracking, support for Miovision's GenAI Agent and AI Studio tools, and management features for study devices. The aim is to reduce the time traffic teams spend configuring studies, checking incoming data, exporting files and compiling reports for engineers and planners.

Customers using Miovision's Traffic Data Online and DataLink products will be able to access the new platform automatically at no extra cost. That could help move part of its existing customer base onto Miovision One while broadening use of its AI tools.

Miovision says it serves more than 5,000 customers in more than 68 countries. Founded in Kitchener in 2005, the company focuses on traffic management technology, including sensors, connectivity, data analysis and software for road networks and intersections.

Mohamad Vedut, senior director TE at Miovision, said the new system is designed to change how transport teams handle studies.

"Traffic Studies for Miovision One streamlines every step of the traffic study process, from configuring studies and managing devices to analyzing data and transforming millions of traffic observations into engineering-ready decisions, reducing manual work and improving accuracy.

"As the only platform that connects temporary traffic studies with permanent intersection management and GenAI insights, Miovision One gives agencies a complete view of their network to make faster, more informed decisions."

Public sector use

The release of another generative AI tool for operational use in city infrastructure comes as public authorities weigh where automation can cut manual work without adding complexity. In transport departments, the value often rests less on conversational interfaces than on whether software can shorten the time between data collection and an engineering decision.

Miovision pointed to results in Ontario as an indication of the wider effect its platform can have when used by cities. It said Peterborough had recorded a 41% reduction in vehicle delays, about USD $1 million in user cost savings and a 20% reduction in emissions, although it did not say how much of that was directly linked to the new traffic studies product.

For local authorities under spending pressure, the commercial case is likely to centre on labour savings as much as traffic outcomes. If engineers and analysts can spend less time reconciling field data and assembling reports, agencies may be able to process more studies with existing staff.

The company also emphasised that the system is designed around multimodal analysis rather than vehicle counts alone. That reflects a shift in city planning, where transport authorities are under pressure to show how junctions and corridors are working for pedestrians, cyclists and other road users as well as drivers.

Miovision says the platform can transform millions of traffic observations into engineering-ready decisions while reducing manual work and improving accuracy.