Governments are overwhelmed balancing consumer expectations, aging workforce, regulations, rapid technology change and fiscal deficits. This blog gathers a community of SMEs who discuss trends and outline how public sector organizations can leverage relevant best practices to drive their software-led transformation and build the future of technology – today!

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Analytics to improve road user safety

Studies estimate that approximately 2.5 exabytes of data is created every day. US Department of Transportation suggests that this surge of data has been accompanied by an increase in connectivity among vehicles, sensors, people, and infrastructure in the transportation network. There are already almost 5 billion connected devices today and in the next five years, this will increase to 25 billion and 250 million of those will be connected vehicles.

This means that we will have smart vehicles not only providing infotainment to their drivers but also sharing data on their performance and usage, sensors tracking vehicular movement, assessing road and infrastructure conditions, mobile apps analyzing driving patterns and behavior of the driver.

How can all this data and information be used by motor vehicle and licensing agencies?

Some of the auto insurance firms are already using such data to assess insurance premiums and promote safe driving habits. Motor vehicle agencies can use this data too to improve road user safety and performance.

Agencies can use the data provided by vehicles to assess their condition, location and take appropriate action (e.g. ensure registration of only certified cars).  They can use the driving dynamics shared by the mobile apps about a driver and compare the past driving history/citations etc. to reward safe drivers and penalize errant ones. They can use the data from sensors & vehicles to assess and improve traffic and road conditions. They can even use these data points to enforce penalties for reckless driving. Access to and analysis of all this data can also be used to identify patterns and predict traffic conditions, driver behavior, collision avoidance etc.

But, to leverage all this data effectively, agencies have to re-think data analytics. Traditional databases and business intelligence tools will not be able to ingest, cleanse, combine, and analyze this multi-source, multi-format (structured, unstructured), and fast moving data.

To quickly and cost-effectively generate actionable insights from such data, agencies need to use an integrated, boundary-less data analytics platform. A boundary-less data platform breaks down system, technology, process, deployment, and organizational barriers, and integrates the data chain - from creation to consumption. Such a platform streamlines information management by simplifying the discovery of information assets, curating and securing data for pervasive analytics, providing access to right tools for data-driven decision making, and enabling self-service analytics for users. The platform blends traditional analytics tools with next-gen approaches:

  • Data lakes that capture and store unlimited amounts of structured and unstructured raw data, irrespective of the format, source, or schema
  • Data grid to remove physical boundaries for sharing data, providing a seamless and secure access to all data sets through metadata-driven physical/virtual integration services
  • Master data management to create a comprehensive view of critical data domains such as customers and partners
  • Automation of data operations and self-service analytics to business users
  • Bespoke visualization to analyze data from any perspective, empowering users across functions to use common data sets for developing unconventional solutions to business problems

An example of how the boundary-less information platform that motor vehicle agencies can use is below.

Analytics to improve safety

Organizations across industries are leveraging such boundary-less data platforms to turn their data into insights. If you are attending CCMTA 2018 Annual Meeting, drop by booth 3 for more insights on how agencies can leverage such platforms and AI technologies to improve road user safety. 


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