Bhubaneswar Expands AI Smart Traffic Signals to 25 More Junctions for Smoother Commutes

Bhubaneswar Adds AI-Driven Smart Adaptive Traffic Signals at 25 More Junctions

Bhubaneswar is expanding its smart traffic management by installing AI-based adaptive signalling systems at 25 additional junctions. This move builds on the existing infrastructure of 50 smart junctions already equipped with intelligent traffic lights.

The new system uses AI to automatically calculate wait times and optimize traffic flow. It also surveys vehicle entries at various points, providing data to manage congestion more effectively. One standout feature is the creation of real-time green corridors for emergency vehicles, improving response times for ambulances and fire services.

Key Features of the Smart Traffic System

• Adaptive Signal Control: Traffic lights will adjust wait times dynamically based on real-time traffic data, reducing unnecessary idling and improving throughput.
• Vehicle Entry Surveys: The system tracks vehicle inflow at city entry points to better manage traffic patterns and anticipate peak loads.
• Emergency Vehicle Priority: Emergency responders will have access to an app that sends signals to traffic junctions, triggering green lights for a clear passage.
• LED Light Strips on Traffic Poles: Entire poles will light up red during stop signals, enhancing visibility for drivers and encouraging better compliance.
• Countdown Timers: Timers will display the remaining wait time during green and amber lights, improving driver awareness and flow.

This system is managed by Bhubaneswar Smart City Limited (BSCL), the agency responsible for implementing smart city projects. The new AI integration is part of the ongoing effort to improve urban mobility and reduce congestion.

Benefits for Traffic Management Professionals

For management professionals overseeing urban infrastructure, this AI-powered signalling system offers measurable advantages:

• Data-Driven Decisions: Real-time vehicle surveys provide actionable data to optimize traffic policies and infrastructure investments.
• Improved Emergency Response: Automated green corridors reduce delays, potentially saving lives.
• Enhanced Road Safety: Clear visual signals and countdown timers help regulate driver behavior, lowering accident risks.
• Traffic Flow Efficiency: Adaptive signals reduce wait times and congestion, improving commuter experience and reducing emissions.

These improvements align with broader smart city goals and demonstrate how AI can be leveraged effectively in urban traffic systems.

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