Mobility analytics company StreetLight Data has launched its 2018 average daily metrics for more than four million miles of roadway in the US
Big data mobility analytics company, StreetLight Data, has made its 2018 annual average daily traffic (AADT) counts available in its InSight platform for nearly every road in the continental US.
It provides accurate, on-demand traffic volumes for more than four million miles of roadway to help inform decision-making regarding smarter cities and better infrastructure.
Historically, AADT counts have been measured manually and at high cost. From getting approval, to training staff, collecting traffic counts, and validating the data, deriving just a few thousand counts can take months and cost hundreds of thousands of dollars.
"Our mission is to help planners, states, counties and cities make better, faster and more cost-effective data-driven decisions,” said Laura Schewel, CEO and co-founder of StreetLight Data.
“With the 2018 AADT release we have measured and analysed the movements of millions of vehicles for all 365 days, across nearly every mile of US roadway. Best of all, we are able to bring those complete data sets to the people who need 2018 counts faster than ever before.”
Based on more than 60 billion monthly location records across the country, collected from smart phones, connected cars and trucks, StreetLight’s algorithms draw on 365 days of data on the roadways.
Available for urban and rural roads big and small, the company’s 2018 AADT counts claim to outperform industry-standard accuracy targets, as published in StreetLight Data’s 2018 AADT Methodology and Validation white paper, available for download at streetlightdata.com/aadt.
"We have measured and analysed the movements of millions of vehicles for all 365 days, across nearly every mile of US roadway"
With federal requirements put in place by the Moving Ahead for Progress in the 21st Century Act (MAP-21), local and state government agencies must increase reporting of performance metrics for planning and funding allocation. This has increased the need for quick, easy, dynamic and cost-effective AADT measurements.
StreetLight Data has pioneered the use of big data analytics to help transportation professionals solve their biggest problems. Applying proprietary machine learning algorithms to over four trillion mobile location data points, the company measures diverse travel patterns and makes them available on demand its software-as-a-service platform.
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