At the 2024 China International Big Data Industry Expo, Baidu Intelligent Cloud showcased its latest advancements in the transportation big model field. By integrating with Baidu's traffic big data, the model has significantly enhanced the efficiency of全域 signal control.
Baidu's comprehensive signal control solution not only boosts traffic efficiency by 20-30% but also addresses the shortcomings of traditional congestion mitigation and information systems. It achieves an end-to-end enhancement from perception to service, creating a fully intelligent system for congestion mitigation that operates across all areas, times, and quantities.
In the pilot project in Guiyang's观山湖区, since the end of 2023, the application of AI signal control technology has reduced the average delay time for vehicles during weekdays by 15%. The system can integrate internet and local traffic police data to predict traffic flow distribution within five minutes and dynamically adjust signal timings to maximize the utilization of green lights.
When conducting traffic management, on-duty police officers will synchronize real-time traffic light status information and green wave recommended speeds to Baidu Maps, helping citizens plan their journeys in advance, reduce waiting times, and thus improve travel efficiency.
Currently, Baidu Intelligent Transportation has partnered with over 140 ecosystem partners, providing intelligent transportation services to more than 200 cities and regions, promoting the application and development of intelligent transportation technology in broader areas.
Key Points:
🚦 **Enhanced Signal Control Efficiency**: Baidu's transportation big model integrated with big data, improving traffic efficiency by 20-30%.
📊 **Significant Pilot Results**: Vehicle delay time reduced by 15% in Guiyang's观山湖区 pilot area.
🔮 **Real-time Traffic Prediction**: System integrates data to predict traffic flow and dynamically adjusts signals.
🤝 **Ecosystem Collaboration**: Baidu partners with over 140 collaborators, serving more than 200 cities and regions.