Advanced analysis of driving style
Detection and analysis of more than 800 different events which translates into road safety.
Driving
fluency
Is the driver capable of predicting the situation on the road? Doesn’t he accelerate and brake too often?
Correct
driving track
Can the driver take turns safely and fluently? Does he brake or accelerate on the curve?
Driving in accordance
with the regulations
Does the driver exceed speed limits in the city, outside the city or on highways?
Appropriate
concentration
Isn’t the driver driving for too long without taking a break? Doesn’t he perform dangerous manoeuvres
Adjusting to
weather conditions
Doesn’t the driver perform
dangerous manoeuvres during rain or snowfall?
Eco
driving
Does the driver change gears in the right moment? Does he try to maintain constant speed on the route?
Intelligent behaviour detection
Thanks to Machine Learning, the data from the accelerometer and the vehicle is compared with a vast database of driving behaviour models, including context information. We are able to separate more than 800 events!
Context analysis
The key to proper evaluation of the driving style. Context analysis is what makes it possible to understand how the driver is acting in specific conditions.
Road type and speed limits
Thanks to Big Data solutions, we analyse the context of the driving style in connection with the information about the road type and speed limit. We are capable of separating several dozen road types including: city crossroads, highways, highway exits, roundabouts, state and local roads etc.
Thanks to that we are can evaluate the behaviour of the driver on specific roads and determine which manoeuvres pose threat to road safety.
Information about weather conditions
We collect data from weather stations worldwide in real time. We then process them using an original engine in order to better understand the conditions in which the driver is driving.
We analyse precipitation, temperature, pressure drops, time of day, ice cover on the road etc.
Thanks to that we know how are the drivers doing in specific situations and weather conditions.
Accident risk evaluation algorithm
Based on the analysis of the driver’s driving style, Ecologic Index clearly determines the accident risk.
High risk
Medium risk
Low risk
Drivers’ profiling
Our original evaluation engine allows us to build a complex and sophisticated driver’s profile which takes several dozen grouped parameters into account.
Distance distribution
Dangerous behavior
Information source for the virtual driving instructor
A precise analysis allows us to identify driver’s mistakes and bad habits. Thanks to that, the virtual driving instructor provides additional advice and motivates the driver to stop making mistakes.