Smart Manufacturing Week 2026

Sensys Networks partners with Verizon to offer intelligent traffic management service

AI Summary

Sensys Networks has partnered with US-based Verizon Communications to support the latter’s intelligent traffic management service in order to optimise signals, reduce congestion on roads, and improve performance reporting for public transportation agencies.

Based on Sensys SNAPS software, the new cloud-hosted smart city service will offer public agencies a solution that integrates iireless sensor networks for high-resolution traffic data collection, secure communication over the Verizon network, and secure hosting on the Verizon cloud.

“This model greatly reduces inefficiencies that are the byproduct of a complex procurement model.”

The US has approximately 300,000 signalised intersections and ITMS intends to transform how public agencies gather data and utilise this data in order to reduce traffic congestion on roads, delays, greenhouse gas emissions and fuel consumption.

The service offers a wide range of cloud-based applications that aid agencies to understand their underperforming sections on road and accordingly take adequate measures to mitigate the problem.

By leveraging SNAPS analytic tools, public transportation agencies can secure access to high-resolution performance measures, including volume-to-capacity ratios, turn movements, effectiveness of traffic signal coordination efforts, vehicle miles travelled and several more.

These measures are important to optimise signal performance.

To be delivered through software as a service (SaaS), ITMS is claimed to be a first for the intelligent transportation systems (ITS) industry.

Sensys claims that this approach reduces complexities, time and cost for agencies to purchase and maintain their own equipment.

Sensys Networks CEO Amine Haoui said: “We believe software as a service allows agencies to focus on customer service rather than procuring, installing and maintaining disparate equipment from multiple vendors.

“This model greatly reduces inefficiencies that are the byproduct of a complex procurement model, while delivering the most actionable data in the history of ITS.”

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