用滚动分片共形预测预警轮胎打滑，结果发现误报率太高，无法实用。
Predictive Conformal Slip Monitoring: An Empirical Evaluation of Rolling Split Conformal Prediction for Pre-Incident Traction Loss Detection
- 通过分析每名车手的滑移残差波动，尝试提前预警打滑
- 19名车手5.5万数据中仅检测出0起真实打滑事件，准确率和召回率均为0
- 模型因残差自相关被破坏而失效，适合研究方法局限性的读者
传统牵引力控制系统在轮胎摩擦极限已被突破后才介入。本文评估滚动分片共形预测是否可作为打滑前的统计预警信号，该方法基于每位车手的随机森林模型，监测预期滑移行为的非符合性残差波动。与早期版本不同，本次评估修正了滑移代理变量（将车速显式作为特征而非隐含于目标分母），使用每位车手全部比赛圈而非仅最快圈，并以国际汽联赛事控制消息中的真实时间戳事故标签及赛道限界圈删除记录为基准进行评分。结果显示：在19名车手、55,563个测试样本中，滚动波动检测器对14个真实事故的平均精确率和召回率均接近0.0，且平均标记15.3%的样本为异常，误报率过高，无法用于早期预警。静态95百分位阈值基线表现未更优，无法支撑共形波动方法的复杂性。残差自相关诊断显示，所有车手均违反分片共形的可交换性假设（Ljung-Box p < 0.001，n = 19/19），这可能是高误报的主要原因。本文报告这一方法严谨的负面发现，诊断可能成因，并指出真正可预测版本所需条件。
原文摘要 · Abstract (English)
Conventional traction control architectures intervene only after the adhesion limit of a tire has already been breached. This paper investigates whether Rolling Split Conformal Prediction , monitoring the volatility of non-conformity residuals from a per-driver Random Forest model of expected slip behavior , can serve as a statistically grounded pre-incident warning signal, ahead of gross traction loss. Unlike an earlier internal draft of this work, the evaluation reported here corrects a confound in the slip proxy (vehicle speed is included as an explicit model feature, not left implicit in the target's denominator), uses every racing lap for each driver rather than only the fastest lap, and is scored against real, timestamped incident labels extracted from FIA Race Control Messages and track-limits lap deletions rather than narrated post-hoc. The result is negative: across 19 drivers and 55,563 test-phase telemetry samples, the rolling-volatility detector achieves a mean precision of essentially 0.0 and mean recall of 0.0 against 14 ground-truth incidents, while flagging on average 15.3% of all samples as anomalous , too high a false-alarm rate for any early-warning use. A static 95th-percentile threshold baseline performs no better in any way that would justify the added complexity of the conformal-volatility formulation. Residual autocorrelation diagnostics show the split-conformal exchangeability assumption is violated for every driver (Ljung-Box p < 0.001, n = 19/19), which is one plausible driver of the high false-alarm rate. We report this as a methodologically rigorous negative finding, diagnose its likely causes, and outline what a genuinely predictive version of this approach would require.
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