AI-Powered Smart Signals to Ease Congestion on Chennai’s Busiest Roads
Chennai is rolling out AI-driven adaptive traffic signals at 165 key junctions across major arterial roads. Aims to reduce idle times and ease congestion.
The smart system dynamically adjusts the green-light
duration—boosting it up to 120 seconds at busy stretches versus the
standard 60–90 seconds.
In contrast, quieter approaches may get just 30 seconds
of green light, helping maintain smoother flow for less busy lanes.
Main corridors included in the first phase: Anna Salai,
Jawaharlal Nehru Salai, Sardar Patel Road, Kamarajar Salai,
Rajaji Salai, and Taylors Road.
Earlier pilot tests at six junctions on EVR Salai
(like Vepery and Ega Theatre) show promising trends—shorter queues and faster
clearances during peak hours.
Each junction will use a combination of sensors to
track speed and crossing time, and AI cameras to count and classify
vehicles—including pedestrians.
These sensors feed data into a control unit,
instantly recalibrating signal phases for real-time traffic flow management.
All junctions relay live data to the Greater Chennai Traffic
Police HQ in Vepery, enabling corridor-wide coordination and “green corridors.”
The system combines historical traffic trends with
real-time video data to proactively prevent congestion by extending green times
ahead of bottlenecks.
While fully automated, the system allows manual overrides
for emergencies, such as when ambulances or VIP convoys need clear passage.
Chennai’s traffic police confirm installation is underway
and expect completion in the coming months.
However, experts stress that even minor sensor or camera
errors can severely disrupt traffic—citing issues in places like Pittsburgh,
London, and Melbourne.
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