High barriers exist for data docking between traffic‑management and multiple departments. Data silos are commonplace, restricting the capacity for full‑domain situation awareness.

Independent construction of various traffic‑management business systems brings inconsistent standards. In‑depth correlation analysis cannot be performed on multi‑source heterogeneous data.

Front‑end sensing equipment suffers from inadequate operation & maintenance and low online availability. Recognition accuracy stays poor under complicated scenarios. Missing and delayed data impair judgment precision.

Developed information systems are divorced from grass‑roots practical demands, causing implementation troubles including "unavailable, inconvenient‑to‑use and hard‑to‑operate" problems.

Data modeling merely stays at the stage of visualization‑aided manual analysis. Active decision‑making capability and effective iteration mechanisms are absent, imposing heavy inspection burdens on grass‑roots staff.