Collect data from smartphones and on board devices, to build holistic customer profiles based on advanced driving behavior analytics. Gain an in depth understanding of the customer driving profile to establish their personal needs, reduce risk and claims costs.
Amodo Driving Analytics Solution processes data coming from connected vehicles via Smartphones or On-board devices, to generate advanced driving behavior and driving pattern reports. Analysis of the driving behavior is used in conjunction with the available road, driving conditions and weather data.
Data is analyzed to gain a full understanding of the driver’s performance and capability to adjust their style to suit actual conditions. The system provides near-real time reports to both drivers and our clients, which generates advice for improving safety.
Use dynamic information to examine how, where and when an insured car has been driven, through a rich set of additional data for enhanced driver risk analysis and modelling.
Context based Driving Behavior Analytics enables the implementation of locally relevant risk related parameters, which can combine existing historical data into the Driver Scoring Algorithm, making it truly adapted for the market which needs to be addressed.
The Amodo platform comes with a unique and flexible Scoring Framework pre-filed with tested parameters. It has been built based on more than additional 700.000 vehicles. The system allows for multiple concurrent scoring systems that operate on the same data input.
Evaluation of the active scoring systems is easy through analytics provided in the Amodo platform. Score distributions and most influential parameters are clearly displayed for the existing customer base. This makes fine tuning of the system prior to mass market launch extremely easy and reliable.
It is important to understand where the driving takes place. We differentiate among location data such as countries, rural areas, cities and type of roads.
This information is extrapolated from the GPS data collected from the connected vehicle and map data coming a number of map providers including HERE, Google and OpenStreet maps.
Some of the additional information analyzed and taken into account are road density, number of intersections, black spots, public transport versus driving mode and other regionally specific data.
Another important aspect to understand is in which conditions the driving takes place. We differentiate between night and day driving, particular time of day such as rush hour, weekday or weekend days and time of the year. In addition to time, weather data is also taken into consideration.
Amodo has developed its own weather conditions engine that collects data from tens of thousands different meteorological stations around the globe which is then processed to gain a full understanding of driving conditions. The weather data analyzed includes conditions such as precipitation, temperature, humidity and icy roads.
Finally the driving style related analysis and scoring refers to aspects of driving that are influenced at most by the driver. Driving style is scored based on information such as number of excessive braking, acceleration and cornering events with the corresponding intensity.
Driving speed is analyzed in details in order to determine the amount of over speeding. GPS data on speed is combined with a map data layer providing detailed speed limit information as well as additional map data in order to reliably determine the over speeding. Other data considered in the analysis of the Driving Style are idle time, long drive without breaks, etc.