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Case Study · AI

Smart City Traffic Brain

Background

A major city district suffered severe rush hour congestion with fixed-time traffic lights unable to adapt. Average delays exceeded 45 minutes. The traffic authority needed an intelligent traffic scheduling system for real-time optimization.

Solution

Deployed AI vision analysis nodes across 500+ intersections. Built deep RL traffic signal optimization model with 15-second dynamic adjustment. Integrated traffic big data platform fusing road conditions, weather, and events.

Results

35%

Efficiency Gain

28%

Wait Time Reduced

12%

Carbon Reduction

<3s

Response Time

  • 高峰时段平均通行效率提升35%
  • 路口平均等待时间缩短28%
  • 碳排放减少12%
  • 应急车辆优先通行响应时间<3秒

Client Feedback

HechuangDataLink AI Traffic Brain transformed our traffic management from experience-driven to data-driven, exceeding all expectations.

Traffic Authority Tech Lead