智慧公路车路协同正由示范验证转向产业运营，瓶颈集中在中试缺位、数据授权、接口协同、验收留痕与收益闭环不足。文章结合车路云一体化试点、北京高级别自动驾驶示范区、无锡车联网先导区等案例，提出了以场景筛选、工程放大、服务封装、合规验收、运营复盘贯通研发成果、项目交付与持续服务的数据治理路径。

Smart highway vehicle–road coordination is shifting from demonstration-based validation toward industrial operation, yet its commercialization remains constrained by inadequate pilot-scale testing, unclear data authorization, weak interface coordination, insufficient traceability in acceptance procedures, and incomplete revenue realization mechanisms. Drawing on cases such as the vehicle–road–cloud integration pilot program, the Beijing High-Level Automated Driving Demonstration Area, and the Wuxi Internet of Vehicles Pilot Zone, this study proposes a data governance pathway that connects research outcomes, project delivery, and continuous services through scenario screening, engineering scale-up, service packaging, compliance acceptance, and operational review.