City Unveils Smart Traffic System Reducing Congestion by 30%
An AI-coordinated signal network has cut average peak-hour journey times significantly during its six-month pilot phase.
Municipal authorities announced the full rollout of a city-wide AI-coordinated traffic management system after a six-month pilot demonstrated a 30% reduction in peak-hour congestion on major arterial routes and a 22% improvement in average journey times.
The system uses real-time data from cameras, inductive loops, and connected vehicle signals to dynamically adjust traffic light timing across the network, prioritising public transport and emergency vehicles while smoothing private traffic flow.
The city's transport department said the rollout will be completed by year end and is expected to generate measurable reductions in vehicle emissions in areas currently exceeding air quality limits.
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