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Title
Improving road safety for heavy vehicle operations
…ricks Customer Stories / NHVR – National Heavy Vehicle Regulator CUSTOMER STORY Improving road safety for heavy vehicle operations The National Heavy Vehicle Regulator (NHVR) is the statutory authority that ove…
Description
Australia's National Heavy Vehicle Regulator (NHVR) used the Databricks Data + AI Platform to analyze more than 4.5 million monthly heavy-vehicle sightings and build machine learning models, including a fatigue engine and crash prediction model, to detect road safety risks in real time (subsecond reporting) across its national fleet of almost 1 million heavy vehicles. The fatigue engine delivered a 4% increase in yielding high-risk fatigue infringements, and the crash model identified vehicles/operators with a 1-in-38 chance of a fatal or serious incident on any given day.
…VR chose to elevate its digital capabilities with Databricks Data + AI Platform to analyze large volumes of data, including more than 4.5 million monthly vehicle sightings from around the country. Now it is able to deliver real-time (subsecond) reporting, dashboards and alert…
…to enable the regulator to direct appropriate interventions on the ground, and has resulted in a 4% increase in yielding high-risk fatigue infringements. By continuing to refine the fatigue engine over time and scale, the NHVR will b…
Company
National Heavy Vehicle Regulator (NHVR)
…cle Regulator CUSTOMER STORY Improving road safety for heavy vehicle operations The National Heavy Vehicle Regulator (NHVR) is the statutory authority that oversees heavy vehicles in Australia. The NHVR works collaboratively with governments and its customers to drive safe…
Industry
Government & Public Sector
…alia’s roads safer using the power of data,” said Wigg. Share this post Details Industry : Public Sector Use Case : Data Science , Data Warehousing , Data Engineering Cloud : Azure Pro…
Country
Australia
…cle Regulator CUSTOMER STORY Improving road safety for heavy vehicle operations The National Heavy Vehicle Regulator (NHVR) is the statutory authority that oversees heavy vehicles in Australia. The NHVR works collaboratively with governments and its customers to drive safe…
Problem
NHVR had developed a data acquisition strategy to better understand the industry it regulates, and, as a result, started to collect large amounts of data sets that its warehouse could not ingest quickly enough. Limited by the capabilities of its traditional data warehousing solution, the NHVR needed a platform that supported real-time processing cost-effectively, to enable predictive analysis and faster time to insight, in order to disrupt in-flight safety threats.
…gg, Director of Data Science and Analytics at National Heavy Vehicle Regulator. NHVR had developed a data acquisition strategy to better understand the industry it regulates, and, as a result, started to collect large amounts of data sets that its warehouse could not ingest quickly enough. As these large sets of data came in, it became critical for NHVR to have a plat…
…ability to scale machine learning and analytics was critical. But, beyond that, it needed a platform that supported real-time processing cost-effectively, to enable predictive analysis and faster time to insight, in order to disrupt in-flight safety threats. “Like all government agencies, we are constrained by the resources we have. Sop…
Solution
The NHVR turned to Databricks Data + AI Platform, which allows its data science team to run machine learning experiments quickly and easily. The NHVR built a fatigue engine to help identify and target drivers and operators most at risk of causing fatigue-related accidents, and created a more reliable crash prediction model powered by machine learning, leveraging multiple data sets including vehicle data, defect data and crash data.
…eamless manner. To cope with the high volume of new and unstructured data sets, the NHVR turned to Databricks Data + AI Platform, which also allows for its data science team to run machine learning experiments, quickly and easily. With the ability to create machine learning templates, less time was needed to…
…try and provide targeted education to its participants. Out of this initiative, the NHVR has built a fatigue engine to help identify and target drivers and operators most at risk of causing fatigue-related accidents. This entails being able to process high volumes of data quickly to enable the…
…fety risks, such as vehicle roadworthiness and over-mass vehicles. In addition, the NHVR has created a more reliable crash prediction model powered by machine learning. By leveraging multiple data sets, including vehicle data, defect data and crash…
…has created a more reliable crash prediction model powered by machine learning. By leveraging multiple data sets, including vehicle data, defect data and crash data, the NHVR was able to identify a cohort of vehicles and operators that had a 1-in-38 chance of being involved in a fatal or serious incident on any given day. This prediction is actionable, with the NHVR able to deploy its safety and comp…
Business value
This has resulted in a 4% increase in yielding high-risk fatigue infringements. The crash prediction model was able to identify a cohort of vehicles and operators that had a 1-in-38 chance of being involved in a fatal or serious incident on any given day, an actionable prediction that lets NHVR deploy safety and compliance officers to target these specific vehicles.
…to enable the regulator to direct appropriate interventions on the ground, and has resulted in a 4% increase in yielding high-risk fatigue infringements. By continuing to refine the fatigue engine over time and scale, the NHVR will b…
…eraging multiple data sets, including vehicle data, defect data and crash data, the NHVR was able to identify a cohort of vehicles and operators that had a 1-in-38 chance of being involved in a fatal or serious incident on any given day. This prediction is actionable, with the NHVR able to deploy its safety and comp…
…in-38 chance of being involved in a fatal or serious incident on any given day. This prediction is actionable, with the NHVR able to deploy its safety and compliance officers to target these specific vehicles on the road, conduct site visits and implement a range of other interventions to prevent serious incidents. Databricks was integrated with NHVR’s existing Azure environment, optimizing th…
AI capabilities
Predictive Analytics
…fety risks, such as vehicle roadworthiness and over-mass vehicles. In addition, the NHVR has created a more reliable crash prediction model powered by machine learning. By leveraging multiple data sets, including vehicle data, defect data and crash…
Technology
Databricks SQL, Delta Lake
…tor Use Case : Data Science , Data Warehousing , Data Engineering Cloud : Azure Product : Databricks SQL , Delta Lake Ready to get started? Try Databricks for free Learn more about our product Talk…
Deployment model
Azure
…y : Public Sector Use Case : Data Science , Data Warehousing , Data Engineering Cloud : Azure Product : Databricks SQL , Delta Lake Ready to get started? Try Databricks for…
Deployment options
cloud
…y : Public Sector Use Case : Data Science , Data Warehousing , Data Engineering Cloud : Azure Product : Databricks SQL , Delta Lake Ready to get started? Try Databricks for…
Headline outcome
…to enable the regulator to direct appropriate interventions on the ground, and has resulted in a 4% increase in yielding high-risk fatigue infringements. By continuing to refine the fatigue engine over time and scale, the NHVR will b…
Use case type
Predictive operations
…fety risks, such as vehicle roadworthiness and over-mass vehicles. In addition, the NHVR has created a more reliable crash prediction model powered by machine learning. By leveraging multiple data sets, including vehicle data, defect data and crash…
