从“车看灯”到“灯看车” 深圳交警以AI算法动态分配路权

Core Insights - The implementation of an AI-based intelligent traffic control system in Shenzhen has significantly improved traffic flow and reduced congestion during the 15th National Games [1][2] - The system utilizes real-time data from various sources to dynamically adjust traffic signals, enhancing the overall commuting experience for residents [2] Group 1: Traffic Management Innovations - Shenzhen police have adopted a "professional + mechanism + big data" approach to upgrade urban traffic management, focusing on six districts with tailored intelligent traffic control systems [1] - The new system employs AI algorithms to monitor traffic conditions, automatically identifying issues like traffic congestion and adjusting signal timings accordingly [2] Group 2: Performance Metrics - In the trial areas, the congestion index has decreased by 3%, while average vehicle speeds have increased by 20%-30%, and citizen complaints have dropped by over 20% [2] - The system features dual modes, "commuting green wave" for efficient vehicle passage during peak hours and "safety green wave" for reduced traffic at night [2]