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Determine the extent of missingness in CPUC TNC self-reported crash datasets

Ascertain the completeness and missingness rates of California Public Utilities Commission Transportation Network Company self-reported crash datasets by auditing event documentation protocols and comparing against independent data sources to quantify underreporting and data gaps.

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Background

The paper highlights that CPUC TNC crash reporting lacks clear documentation standards, making it impossible to quantify missingness. This undermines the reliability of comparisons between ADS crashes and TNC-reported human crashes.

A systematic assessment of missingness and reporting protocols is necessary to establish credible human benchmarks from TNC data for safety impact studies.

References

Without clear guidance on the protocol for documenting each event, it is impossible to know the amount of potential missingness present in the data.

— Comparison of Waymo Rider-Only Crash Rates by Crash Type to Human Benchmarks at 56.7 Million Miles (2505.01515 - Kusano et al., 2 May 2025) in Appendix – Comparisons to Prior Studies