01337226

Component

https://doi.org/10.3141/2256-01

http://scholar.google.com...rner&publication_year=2011

There is a need for fair and statistically valid assessments of traveler information data services. For measurement of the accuracy of a traveler information service, ground truth data must be collected and compared with the data service being evaluated. Past assessments of data quality have typically used floating-car runs or travel time estimates derived from loop detector speed data to determine ground truth benchmarks. Newer approaches such as measurement of travel time from Bluetooth samples can provide statistically valid sample sizes. However, determining the minimum sample size before data collection is critical to minimize data collection costs and maximize accuracy of ground truth data. An analysis of travel time data from Houston, Texas, is presented. The distribution of travel time variance is explored and a method for network stratification with a classification model is developed. The method can be applied to classify freeway links based on the travel time coefficient of variation. The method will help engineers in determining which links in a network to test and in estimating the minimum sample size per link.

01362484

11-3717

English

pp 1-9

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309222921

Print

Figures (5) ; Maps (1) ; References (13) ; Tables (3)

Advanced traveler information systems; Data collection; Data quality; Network links; Sampling; Statistical sampling; Travel time; Traveler information and communication systems

Houston (Texas)

Data and Information Technology; Highways; Operations and Traffic Management; I70: Traffic and Transport

TRIS, TRB

Feb 17 2011 6:37PM

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