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PROJECT / 002

CrashCast

Spatiotemporal Traffic Collision Prediction

DOMAINGeospatial / Risk
FOCUSgeospatial ML · spatial features · risk modeling
TOOLSPython · GeoPandas · PostGIS · H3 · XGBoost
ILLUSTRATIVE / SYNTHETIC

01 / Overview

A geospatial modeling study of where and when traffic collision risk may vary.

02 / Problem

The challenge is to define a useful spatial unit and prediction window without allowing nearby or future information to leak into evaluation.

03 / Approach

The project explores spatial feature engineering and geographically aware validation for interpretable risk estimates.

04 / Technical stack

Python · GeoPandas · PostGIS · H3 · XGBoost

05 / Visualization

Illustrative visualization only. It communicates the project direction rather than a completed experimental result.

06 / Future development

The final evaluation will account for spatial separation and practical tradeoffs between signal, coverage, and interpretability.

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