# Learning physically grounded traffic accident reconstruction from public accident reports

Source: [Learning physically grounded traffic accident reconstruction from public accident reports](<https://www.sota2.com/research/paper/69f82801c0f56ed843088963>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-05-05T05:00:04.460Z

Authors: Yanchen Guan, Haicheng Liao, Chengyue Wang, Zhenning Li

Published: 2026-04-29T14:33:27.000Z

## Abstract

Traffic accidents are routinely documented in textual reports, yet physically grounded accident reconstruction remains difficult because detailed scene measurements and expert reconstructions are scarce, costly and hard to scale. Here we formulate accident reconstruction from publicly accessible reports and scene measurements as a parameterized multimodal learning problem. We construct CISS-REC, a dataset of 6,217 real-world accident cases curated from the NHTSA Crash Investigation Sampling System, and develop a reconstruction framework that grounds report semantics to road topology and participant attributes, reconstructs lane consistent pre-impact motion, and refines collision relevant interactions through localized geometric reasoning and temporal allocation. Our method outperforms representative baselines on CISS-REC, achieving the strongest overall reconstruction fidelity, including improved accident point accuracy and collision consistency. These results show that public accident reports can serve as scalable computational substrates for quantitatively verifiable accident reconstruction, with potential value for traffic safety analysis, simulation and autonomous driving research.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Traffic Accident Reconstruction on CISS-REC](<https://www.sota2.com/research/sota/traffic-accident-reconstruction-on-ciss-rec.md>): Traffic Accident Reconstruction; CISS-REC; AKD: 4.98.

- [Traffic Accident Reconstruction on CISS-REC (test)](<https://www.sota2.com/research/sota/traffic-accident-reconstruction-on-ciss-rec-test.md>): Traffic Accident Reconstruction; CISS-REC (test); AKD: 4.98.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2605.00050>)

[PDF](<https://arxiv.org/pdf/2605.00050.pdf>)