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SXSW 2019

Safer Roads with Machine Learning

DVSA’s primary objective is to make GB’s roads safer. The original approach to risk rating garages is subjective and open to dispute, focused on garage performance only and does not fully leverage the data available in the MOT Testing Service (MTS).
DVSA and Kainos have pioneered a predictive analytics tool using ML that derives risk scores for garages and testers based on data collected and compared against other testers and garages in the scheme. These scores are combined with knowledge of current and past disciplinary action to derive an overall risk rating.
Using this tool, DVSA can now more effectively and efficiently target their inspection and enforcement action at garages and testers exhibiting unusual testing patterns, therefore making a greater positive impact on road safety.

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Takeaways

  1. How machine learning can positively impact citizen facing services.
  2. How government can positively leverage the power of data to transform their services and operations.
  3. How a combination of ML and data driven services have made Great Britain's roads safer.

Speakers

Organizer

Seamus Sands, Lead Data Analyst, Kainos Group plc

Meta Information:

  • Event: SXSW
  • Format: Dual
  • Track: Intelligent Future
  • Level: Intermediate
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