Exploring Non-Traditional Methods of Obtaining Vehicle Volumes
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2020-12-01
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Edition:08/2019 – 07/2020
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Abstract:Big data analytics is being used to generate traffic data that may be used by an agency to supplement its routine data collection. StreetLight InSight ® and Streetlytics, produced by StreetLight Data and Bentley Systems respectively, are two such tools that promise to provide traffic volumes, including AADTs, for every roadway in the US. This study collected ground truth data from continuous counters from 14 permanent stations (AADT), full- month traffic volumes from 30 locations, and 24-hour daily volumes from 60 locations and compared against corresponding data from StreetLight and Streetlytics. The five measures used are accuracy, completeness, timeliness, validity, and accessibility of the estimating data from the two tools. While the assessments done for timeliness and accessibility were for information purposes, scores were generated for accuracy, completeness, and validity. The primary accuracy metric used was mean absolute percentage error (MAPE) but secondary metrics, comprising percent root mean square error (%RMSE) and median/maximum absolute percentage error were also generated to provide more insights on the validation effort. MAPE results for the permanent stations showed StreetLight outperforming Streetlytics. However, MAPE results for both the full-month and 24-hour locations showed Streetlytics outperforming StreetLight. Furthermore, when considering only low-volume roadways of less than 500 vpd, Streetlytics outperformed StreetLight for locations with volumes under 300 vpd while StreetLight generally outperformed Streetlytics for locations with volumes over 300 vpd. However, data from both tools were determined to be valid for use for traffic assessments. Due to the favorable results obtained for both tools, a hands-on demonstration of each tool has been recommended to allow potential users to evaluate the user-friendliness of the individual interfaces as well as the ease of use of the various tools on each platform.
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