Reported impact
Business outcome
Jingxiong Expressway gained a more route-specific intelligent operating layer that improves monitoring, dispatch, and collaborative service quality while reducing manual coordination overhead.
- Customer Experience
- Productivity Improvement
- Scalability
Solution
On the Jingxiong Expressway Hebei section, Baidu AI Cloud built a highway industry large model around Qianfan and BaiGe to create a digital operations expert for road management. The model was pre-trained on expressway operating data and then specialized for four highway tasks: event detection, emergency disposal, information handling, and business interaction. Compared with the broader Hebei group case, this project emphasizes the application layer on a specific route, where eight innovation apps expose multimodal perception, knowledge enhancement, content generation, voice-command interaction, and multi-party coordination. Managers can query data, trigger cross-system workflows, coordinate information, generate reports, and dispatch commands through semantic interaction rather than by manually stepping across disconnected tools.
Data flow
Operating data from the Jingxiong route is used to pretrain the large model, which then processes route events, user queries, and workflow requests. The model returns analysis, reports, and commands across systems, data sources, and APIs to support traffic operations and coordination.