Singapore Advances Smart City Project with AI-Driven Traffic System

Singapore launched a new phase of its smart city initiative today, unveiling an AI-driven traffic management system aimed at reducing congestion by up to 30%. The system uses real-time data and machine learning to optimize traffic signals across the city-state. According to Reuters, the project integrates over 5,000 sensors and cameras to monitor traffic flow and adjust signal timings dynamically. This implementation is part of Singapore’s broader Smart Nation plan, which focuses on enhancing urban living through technology. Early trials have reported a 20% decrease in average commute times, signaling promising improvements for residents and businesses alike. The government plans to expand this system nationwide by 2027, setting a benchmark for smart city projects globally.