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Enterprise Layer Intelligence
Categories/AI Analytics/Intelligent Traffic Control
Intelligent Traffic Control

Intelligent Traffic Control

Founded by Aharon Brauner & Dvir Kenig in 2019

Manage traffic signals and reduce intersection congestion using real-time predictive analytics

Pricing model

Demo

You can use ITC to control and coordinate traffic signals dynamically across municipal road networks. The system connects to existing hardware to predict traffic flow, identify bottlenecks, and adjust signal timing in real time. It detects different types of road users like vehicles and pedestrians while mapping continuous movement trends onto a central dashboard. Municipalities and traffic engineers can run digital twin simulations to test road design changes before making physical infrastructure investments, cutting wait times and vehicle emissions across cities.

What Intelligent Traffic Control does

Connect signal controllers to centralized management softwareClassify moving road users using camera feedsRun digital twin simulations for traffic routingGenerate real-time timing plans for traffic lightsTrack intersection delay times and vehicle throughputExport mobility analytics reports for city plannersHardware-agnostic integration with existing traffic signals and camerasReal-time traffic prediction and automated signal timing adjustmentsDetection and classification of various road users including pedestrians and vehiclesDigital twin simulation engine to evaluate urban planning scenariosCentralized visual dashboard tracking citywide mobility metricsEmission and fuel consumption tracking across managed intersections

Pricing breakdown

Pricing model: Book a demo

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ITC, traffic management, traffic signals, urban mobility, congestion control, smart city, digital twin, traffic simulation, vehicle detection, VisionInsight, VisionTwin, VisionFlow, road safety, emission reduction