Mark S., PhD
Computational biologist and data scientist
Why TripRisk exists
I'm a PhD researcher, computational biologist, data scientist, and statistician. My published work spans public health, medicine, and large-scale biological data analysis.
The same statistical frameworks I use to analyze genomic data — exposure-normalized rates, Bayesian estimation, risk quantification — turned out to be exactly what's needed to model driving risk. Most “safe route” tools rely on heuristics or crowd-sourced reports. TripRisk doesn't guess. It calculates.
Every road segment in the US is scored using real federal data: five years of NHTSA fatal crash records, FHWA traffic volumes, real-time weather, and astronomical daylight calculations. The result is a per-trip fatality probability grounded in the same evidence-based methodology used in epidemiology and transportation safety research.
What it takes to run this
TripRisk runs on a costly cloud server — required to process 8.7 million road segments, serve weather data, and route queries across the entire US.
The data pipeline: 18 GB of OpenStreetMap roads, 5 years of NHTSA crash records, FHWA traffic volumes, real-time weather. Processing all of this isn't free.
There's no account required, and it's free to use. Just the tool.
Support TripRisk
If TripRisk helped you find a safer route — or even just made you think twice about that late-night drive — consider buying me a coffee.
Every dollar goes directly to keeping TripRisk online.