Chengdu Deploys AI System Across Expressways to Target Abnormally Slow Drivers
Chengdu Traffic Police have fully deployed an AI-powered smart traffic system across all urban expressways and the beltway to target abnormally slow vehicles. By fusing ETC, satellite positioning, and video surveillance data, the system delivers real-time LED warnings, reducing slow-moving vehicles by about 20% in trial areas. Excessively slow driving significantly impairs traffic flow—every 10 km/h drop in average speed reduces road capacity by roughly 15%—and increases collision hazards. This multi-sensor AI approach demonstrates how smart city infrastructure can dynamically ease congestion while automating enforcement for secondary violations like distracted driving. The system identifies slow drivers using automated algorithms; for example, a vehicle overtaken by 18 cars within 200 meters is flagged and prompted via roadside LED screens to speed up. It also automatically scans slow vehicles for traffic violations such as handheld mobile phone use or illegal cargo transport, forwarding confirmed cases for official penalties.
## BACKGROUND
"Turtle driving" refers to vehicles traveling far below normal traffic speeds or violating minimum speed limits under good road conditions. Smart traffic management utilizes multi-sensor data fusion—combining computer vision, Electronic Toll Collection (ETC) telemetry, and GPS—to continuously assess dynamic road conditions and driver behavior.