Using the past to predict the future
Relevant data was collected from multiple state-wide agencies and sources, with a focus on past crash sites. Historical driving patterns for time of day, day of week, and major holidays were added, plus collision counts and causes. This data was then integrated with road and weather conditions, construction zones, and traffic volumes. Then the team put SAP predictive analytics to work.
What was created was the Daily Crash Prediction Map, an intelligent tool powered by SAP HANA. It gives law enforcement agencies and city planners a fact-based way to foresee probable crash sites. It enables first responders to reduce response times by placing themselves in the best position to react should a crash occur. And, most importantly, it helps motorists find the safest roads.
Steering clear of trouble
To make the Daily Crash Prediction Map even more useful, it was adapted for use by motorists themselves. Citizens can now access the tool, so they can quickly check on the route they’ve chosen to follow. The map uses color-coding to show the level of risk within each marked square across the state, during any particular 3-hour period.
An inspired solution
Here’s how it works. The solution analyzes data, including prior crash sites. Insights help to identify locations that may be susceptible to crashes in a given 3-hour period. Hot spots appear on the map, alerting motorists to pick safer routes.
A better outcome
Since the app was launched in November of 2016, citizens have been able to leverage it to determine the best route to take when traveling. And first responders now have relevant info to position themselves in the best place should an accident occur.
A better industry
Data and citizens are playing an active role in making their roads safer. And, one by one, forward-thinking U.S. states are recognizing the transformative potential of digital technology.
A better world
Safer roads and transport systems are a specific target of the United Nations Sustainable Development Goal. Every year, so many lives are lost to avoidable traffic accidents. Intelligent analytics tools can be a way to help reverse this trend.
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