United States Department of Transportation
i
Evaluation of StreetLight Data’s Traffic Count Estimates From Mobile Device Data
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2020-11-01
[PDF-2.74 MB]
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Edition:Final Report
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Abstract:In this study, the Texas A&M Transportation Institute (TTI) conducted an independent, follow-up evaluation of StreetLight Data’s 2019 traffic count estimates using MnDOT sources of traffic count data. At 442 permanent benchmark locations, TTI found that average annual daily traffic ( AADT) estimation accuracy by StreetLight Data has improved significantly since the 2017 evaluation, especially in moderate-to high-volume categories (i.e., more than 10,000 AADT). The mean absolute error ranged from 8% to 10% for locations greater than 10,000 AADT and gradually increased to 42% for sites with less than 1,000 AADT. TTI also found significant overestimation bias for low-volume roadways (i.e., less than 2,500 to 5,000 AADT). This result was present in the permanent benchmark sites and more pronounced in the 265 short-duration count sites. Based on these findings, TTI recommends that MnDOT consider a phased approach to using probe-based traffic count estimates: 1) Continue to maintain MnDOT permanent counter sites; 2) start using probe-based counts for about 90% of the moderate-to high-volume roadways (20,000 or more AADT); 3) continue to use traditional short-duration counts at the remaining 10% of the moderate-to high-volume roadways as a spot check to ensure that probe-based AADT estimates remain within acceptable tolerances in the next five to ten years; 4) periodically monitor the error of AADT estimates on low-to moderate-volume roadways (less than 20,000 AADT); and 5) once acceptable error tolerances for these lower-volume categories are reached, repeat Step 2 for these lower-volume categories.
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