Driver Behaviour – Driver Monitoring and Analysis
Introduction to Driver Monitoring and Analysis
Understanding Driving Behaviour, helps to improve traffic security by profiling and classifying drivers based on their individual driving pattern. This constant and continuous monitoring helps in reducing vehicle accidents and damages caused by erratic driving.
The scope of this blog is to provide a general understanding on what Driver Behaviour [Driver Monitoring and Analysis] is and how can it be applicable and helpful in real world scenarios.
The Problem
Vehicle accident’s happen most frequently, a recent study has suggested that among these accidents a vast majority of the accidents happen due to human error. A general theory involving about the accidents is that; each human is different individual and thus the driving/motor capability varies with each individual.
Accident’s not only cause loss of life, but, also impacts economically. By implementing Driver Behaviour Analytics, much can be done to mitigate the issues arisisng out of vehicular accidents. Let’s analyse the solution for this problem!
Data Loading & Analysis
Data is collected from various sources and loaded to data warehouse using Pentaho Data Integration. The Pentaho Data Integration Tool performs the cleansing, transformation, applying rules and stores in data warehouse.
Data is visualized in dashboards and reports using Pentaho CTools for analysis and decision making
The Solution
Of late, there has been rapid increase in the development of new technology in automobile industry. With this technological advancement, it is possible to monitor a vehicle and obtain cirtical information, this is called as Telematics. By combining a GPS system with on-board diagnostics it’s possible to record and map exactly where a vehicle is and how fast it’s traveling, and cross reference that with how a vehicle is behaving internally.
Driver Monitoring forms a part of vehicle telematics as the information about driver behaviour is obtained by connecting into the on-board chip. Some of the key features which can be obtained from the on-board chip are;
- Speeding
- Harsh Acceleration
- Harsh Braking
- Frequent Stopping
- Frequent Braking
- Frequent Accelaration and other’s
With this information in-hand and the help of Advanced Analytics, it is possible to obtain near real-time information regarding the driving behaviour of an individual driving the vehicle, plus monitor the vehicle performance, reliability and usability.
Driving Behaviour Analytics can be really beneficial as it helps to;
- Judge the safety and efficiency of the drivers.
- Monitor Accidents.
- Obtain Vehicle Statistics Information.
Conclusion
Data is everywhere, the intelligence lies in obtaining the relevant insights and applying it in real world businesses. Driver Behavior Analytics is one such type of intelligence which can be applied across multiple industries.
In Insurance vertical, the analytics can be used to judge the safety and efficiency level of the drivers and offer targeted insurance premiums to select customers. Other domains where the Driver Behaviour Analytics can be applied into are Taxi Aggregators, Fleet Management and Car Rental Providers, these business can vastly benefit by integrating the analytical solutions into their platform and thus improve Safety, Traffic Security, Business Reputation and reduced Operational Costs.
