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| Format: | Recurso digital |
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Zenodo
2026
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| Matèries: | |
| Accés en línia: | https://doi.org/10.5281/zenodo.20018549 |
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- <p>This record presents a minimal empirical result showing that traffic accidents concentrate in a predefined high-Ω regime under fixed ex-ante definitions.</p> <p> </p> <p>The analysis is conducted on two independent cities (NYC and Chicago) using publicly available traffic accident data. The same definitions and procedure are applied without modification.</p> <p> </p> <p>Definitions (fixed before evaluation):</p> <p>- Ω = I × G</p> <p>- I = rolling standard deviation of daily accident counts</p> <p>- G = absolute daily change in accident counts</p> <p>- high Ω = Ω > q(0.99)</p> <p>- collapse = high-accident days (accidents > q(0.95))</p> <p> </p> <p>Metric:</p> <p>- P(collapse | high Ω) vs baseline P(collapse)</p> <p> </p> <p>Results:</p> <p>- NYC: ~4.0× higher than baseline</p> <p>- Chicago: ~10.7× higher than baseline</p> <p> </p> <p>The result shows that accident occurrence is not uniformly distributed, but concentrates in a specific structural regime defined by Ω.</p> <p> </p> <p>This is not a predictive model.</p> <p>No optimization is performed.</p> <p>Collapse is defined independently of Ω.</p> <p>The result reports conditional frequency, not timing prediction.</p> <p> </p> <p>Reproducibility:</p> <p>Colab (run directly):</p> <p>https://colab.research.google.com/drive/1FtF7-UsfDF_pGoqB_SUfZScwSqKalHgj</p> <p> </p> <p>CSV outputs are included for direct verification.</p> <p> </p> <p>This record is part of a broader set of minimal cross-domain tests using the Ω = I × G framework.</p>