Vehicle Safety Project

Texas crash data as a vehicle-safety build — risk, sensors, and the kind of messy real-world data predictive people love.

Reading lens

• Treat sensor streams like any other frequency/severity problem: define the decision first.
• Watch for leakage from post-incident fields when modeling “prediction” of risk.
• Calibration matters when alerts page humans — false positives have a cost function.