data-analysis-diagnosis

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