Driver Behaviour – A New Dimension


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So why the talk about driver behavior, how does it help? Do you knDetecting dangerous driver behaviorow that efficient driving can have a large-scale impact on fuel consumption as well as maintenance? Do you know that for an average distance of 300 km per day, good driving can help save 2.25 Liters worth of fuel? With our driver behavior monitoring system, you would surely know about driver behavior. Is his driving safe or rash? Is his driving efficient or not? But what next. How do you convey this message to him and ensure that things change at his end? IoT Research labs offer a state of the art solution to this problem.

We do not stop at providing the driver behavior analysis, instead of like always, we go a step ahead and ensure that the drivers are encouraged to give due importance to the analysis. We use a technique called gamification to make sure that you get the desired result.

Gamification is nothing butDriver behavior analysis and gamification the use of gaming techniques and elements in a non-gaming context. In simple words, we present the data and insights in a form that they stick with the end user and he is motivated to take the required action. Gamification as a concept is catching up at a rapid pace and in many instances, it has proven to have dramatic results.

In Stockholm, Sweden, monitoring devices were set up that tracks how people drive and shows them how fast they’re going. The device would also take a picture of people and their license plates. So it knows who people are going by, and how fast they’re going.  But, instead of using that as the way to catch people who are speeding, they did something different with it.

Any time a person goes by the sign that tracks their speed and he/she is not speeding, they automatically enter into a lottery. The money for the lottery comes from the fines from the people who are caught speeding.Low cost gamification for driver behavior analysis

The results were actually pretty dramatic. People slowed down over 20 percent, over a three day period when they trailed this system.

So in our specific case of the driver behavior analysis, instead of providing you with the number of instances of harsh acceleration or over speeding, we have used our own algorithm to score drivers on efficiency and safety.

Coming up with a score is useful for a variety of reasons.

  • It is easier to understand and comprehend as compared to the instances of violations
  • A low score has a physiological impact and the drivers would automatically be motivated to do a better job the next time
  • It can help create a competition between drivers with rewards in-kind/cash for the best performers.

We strongly believe that this simple solution can have a drastic long-term impact on the way the transport industry operates currently and will help reduce operating cost by 20-25 percent.