We provide market leading real-time collision risk insights
RedOptima harness Machine Learning and Big Data technologies to provide industry leading collision risk probability benchmarks and real-time risk profiling of transportation assets. We focus on truly understanding the objective and controllable antecedents to road vehicle collisions by using remotely sensed data sources.
We exploit diverse high fidelity
Our unique data sources include:
Multi-spectral satellite imagery
Cutting-edge high fidelity physical models
SCRIM/SCANNER surface analysis data
The RedOptima Revolution
The contextual factors surrounding a transportation vehicle accident event can be directly controlled or can be avoided. These contextual factors change
over different time-scales.
Shorter term factors such as weather and ambient light are referred to as road Conditions - these vary
over minutes and hours.
Longer term factors such as the immediate built environment and road gradient are known as Features - these vary over days, weeks, months, and years.
Hyper-local weather conditions like rain impact visibility and road surface traction.
Proximity of buildings to roads impacting road visibility is another example of road Features increasing accident risk probability.
RedOptima’s real-time industry specific insights into accident risks by modelling the immediate vicinity of each vehicle. RedOptima saves you costs by giving you the information you need to mitigating risks associated with injuries and deaths on the road.