00822699

Component

https://doi.org/10.3141/1769-10

http://scholar.google.com...eltz&publication_year=2001

For traffic analysts who rely on traditional traffic monitoring data from state and local transportation departments, Intelligent Transportation System (ITS) count, speed, and occupancy data are a largely untapped resource. As with most data, however, ITS data are not immune to outliers, missing values, and other anomalies, which can be time-consuming and costly in data analysis. Furthermore, because ITS data are recorded at intervals as short as 20 s, the tasks of archiving and disseminating them are substantial. Therefore, before ITS data are applied in traditional traffic analysis problems, and before archiving and disseminating them, their fitness for traditional uses should be demonstrated, and methods should be established for ensuring their fitness. Traffic counts from ITS installations in Orlando, Florida, and Long Island, New York were examined. Methods were developed for (a) filtering out data values beyond credible limits and runs of the same value too long to be credible and (b) dealing with zeros, which, ambiguously, indicate either missing values or actual zero counts. Because hour totals are often the focus in traditional traffic analyses, methods were also developed for aggregating the remaining counts to estimates of hour totals. Adjustments were made for the joint effect of missing values and trends within hours. Application of the methods to the Florida and Long Island ITS traffic counts and comparisons with hour counts from state departments of transportation demonstrated the feasibility of using ITS counts in traditional traffic analyses.

This paper appears in Transportation Research Record No. 1769, Pavement Management, Monitoring, and Accelerated Testing.

English

p. 79-86

2001

Transportation Research Record

030907231X

Figures (6) ; References (2) ; Tables (3)

Data banks; Feasibility analysis; Intelligent transportation systems; Lane occupancy; Traffic counts; Traffic data; Traffic speed

Data aggregation

Data filtering

Long Island (New York); Orlando (Florida)

Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 22 2002 12:00AM

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