Queue of traffic reflected in a car wing mirror
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Traffic Management

Improving mobility and road safety across city-wide networks using AI-powered traffic optimisation through adaptive signals, real-time vehicle detection, traffic flow analytics and intelligent enforcement.

Optimising Urban Mobility
through Intelligent Traffic Systems

Growing urban mobility demands more than conventional traffic signals and manual enforcement. AMI Paradigm connects junction infrastructure, transport data and AI-powered analytics to create a more responsive traffic ecosystem.

Adaptive Traffic Control
Uses real-time vehicle detection, traffic classification and adaptive signal logic to optimise junction timings, reduce congestion and improve traffic flow.
Intelligent Traffic Management (ITMS)
Integrates traffic signals, surveillance, transport data and command centres to provide unified network visibility and enable coordinated, intelligence-led traffic operations.
Dense city traffic of cars and motorbikes on a wet road at night
Traffic Enforcement
Combines surveillance infrastructure, automated violation detection and enforcement workflows to identify traffic violations, improve compliance and strengthen road safety.
Green Corridor
Integrates traffic signals, route intelligence and command centre coordination to create priority corridors for emergency vehicles and reduce response delays.
2,940
buses run from two command centres in Chennai
165 junctions with adaptive detection, counting and classification. Chennai ITS is now a reference for the national ITMS specification.
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