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AXA competition – Driver Telematics Analysis


Vadis finished at 22th position out of 1528 teams coming from all over the globe. It is indeed not the first time Vadis ends in the top ranks of data mining competitions (KDD 2014 Cup – 19th/472, KDD 2013 Cup – 33th /554, KDD 2010 Cup - 11th, KDD 2009 - 16th, ECML PKDD 2008 - 2nd, KDD 2007 - 6th …)

Vadis is proud to announce its high ranking at the AXA - Driver Telematics Analysis competition.
For automobile insurers, telematics represents a growing and valuable way to quantify driver risk. Instead of pricing decisions on vehicle and driver characteristics, telematics gives the opportunity to measure the quantity and quality of a driver's behaviour. This can lead to savings for safe or infrequent drivers, and transition the burden to policies that represent increased liability.
AXA has provided a dataset of over 50,000 anonymized driver trips. The intent of this competition was to develop an algorithmic signature of driving type. Does a driver drive long trips? Short trips? Highway trips? Back roads? Do they accelerate hard from stops? Do they take turns at high speed? The answers to these questions combine to form an aggregate profile that potentially makes each driver unique.
For this competition, the participants had to come up with a "telematic fingerprint" capable of distinguishing when a trip was driven by a given driver.



 



Figure 1. Use telematic data to identify a driver signature



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