Bengaluru, known for its heavy traffic, is turning to advanced artificial intelligence to help alleviate its congestion. The city has launched VAC (Vehicle Adaptive Control) signals, an AI-driven system aimed at optimizing traffic flow by adjusting signal timings according to real-time vehicle density. This technology employs a network of sensors and cameras to track traffic patterns, using AI algorithms to prioritize busy lanes and minimize wait times. Initial trials have indicated a 30% decrease in average travel time during peak hours, providing a hopeful outlook for the future of urban mobility. Officials are optimistic that VAC signals could significantly enhance the commuting experience for Bengaluru’s residents while also cutting down on fuel consumption and air pollution. The system is set to be implemented at major intersections in the upcoming months, positioning Bengaluru as a frontrunner in AI-based urban solutions. Through these advancements, the city aims to address its persistent traffic challenges and create a foundation for smarter, more sustainable transportation.
Bengaluru Tackles Traffic Issues with AI-Enhanced Signals.
