Miovision Launches GenAI-Driven Platform to Automate Traffic Signal Retiming

New updates have been reported about Miovision.

Miovision has launched what it calls the first generative AI–enabled, end-to-end platform for traffic signal optimization on its Miovision One cloud system, positioning the company to replace fragmented, manual retiming workflows used by many transportation agencies. The new offering integrates Miovision’s GenAI traffic engineering assistant, Mateo, with two products, Signal Optimizer and Controller Manager, to connect the full cycle of analyzing, optimizing, approving, deploying and validating signal timing plans.

The solution targets a sizable operational pain point: traditional retiming is often outsourced, performed only every three to five years, and can cost $3,000 to $5,000 per intersection, leaving agencies with outdated plans as traffic patterns shift. By automating data analysis with Mateo and applying an AI-based genetic algorithm in Signal Optimizer, Miovision claims agencies can retime networks up to 50% faster, customize objectives such as delay reduction or fuel savings and generate engineer-ready plans that retain professional oversight.

Signal Optimizer ingests geometry, traffic counts and existing timing plans, then uses methodologies based on the Highway Capacity Manual to automatically propose cycle lengths, phase splits, offsets and phase sequences for both individual intersections and coordinated corridors. Controller Manager adds the operational layer, allowing agencies to remotely access supported controllers, compare and version timing plans, monitor live telemetry and detector status and push validated updates over NTCIP-compatible infrastructure.

For cities, the integrated approach is intended to cut deployment time for new timing plans by as much as half, while enabling more frequent, proactive adjustments to address congestion, shifting travel demand, construction impacts and safety issues for vulnerable road users. CEO and co-founder Kurtis McBride framed the launch as a response to traffic teams facing modern mobility challenges with outdated tools, emphasizing that the platform keeps engineers in control while enabling data-driven, AI-assisted operations.

Strategically, the move broadens Miovision’s role from data and analytics provider to a full-stack operational platform for intelligent mobility, deepening its value proposition with more than 5,000 customers in 68 countries. With technology that has already processed over 77 billion vehicles and 3 billion pedestrians and cyclists, the company aims to shift agencies from reactive observation to predictive, action-oriented management of their networks, potentially driving recurring software revenue and stickier customer relationships as agencies standardize on Miovision One.