| name | data-analysis-diagnosis |
| description | 验证溢出是否成立,计算排队比、饱和度、绿灯利用率等核心指标。Use when phase is data_analysis_diagnosis. |
| metadata | {"skill_id":"data_analysis_diagnosis","display_name":"数据分析与诊断","phase":"data_analysis_diagnosis","version":"0.1.0","enabled":true,"handler_class":"DataAnalysisDiagnosisSkill","script_files":["scripts/analyze_overflow.py"],"reference_files":["references/rules.md","references/thresholds.md"],"resource_files":{},"execution_steps":[{"step_id":"verify_overflow","title":"溢出验证","instruction":"计算排队比并结合饱和度、绿灯利用率验证溢出问题是否成立。","script":"scripts/analyze_overflow.py","function":"analyze_overflow"}]} |
数据分析与诊断
作用
借鉴路口场景认知与流量溯源可视化契约,对目标路口、直接下游信控节点、上游来车进行同构指标分析。
核心指标
- 排队比 = 排队长度 / 进口道蓄车长度
- 排队比 ≥ 0.8:溢出预警;≥ 1.0:明确溢出风险
- 目标路口与下游信控节点输出同构
metrics / by_turn
downstream_trace:目标进口左转/直行/右转的一跳去向、占比、承接能力(对齐 FlowTraceMap);治理护栏仍以票据选中转向为准
flow_trace:上游来源路径、entry_traces、governance_hints
arterial_analysis:上游到达/放行、剩余空间、控流建议
downstream_diagnosis:下游信控节点同构对比与放行判断
map_scenes:前端地图可视化载荷