00984548

Component

https://doi.org/10.3141/1879-10

http://scholar.google.com...Wang&publication_year=2004

Intelligent transportation system (ITS) data, which are normally collected at a 15- to 30-s interval, are a rich and valuable resource for a variety of applications, including transportation planning. However, raw ITS data exhibit a wide range of fluctuations, which may not be directly useful for planning purposes, for which aggregations taken over longer time intervals are commonly needed. Proper determination of aggregation level of ITS data will ensure the retention of necessary information and the elimination of as much unnecessary information as possible. The traditional approaches to determining aggregation level are intuitive and easy to implement, yet they may be unable to determine whether particular information is kept or lost. The newly developed wavelet-based approach, although good for decomposing original data sets, needs to be further improved. A double-sided technique was developed that could refine the selection of aggregation levels based on two self-defined indices: the dissimilarity index and the information loss index. A computer program coded in MATLAB with the use of the Wavelet Toolbox was developed to implement the proposed technique. A case study illustrating the process was conducted by using real-time ITS data from traffic management centers in the San Antonio TransGuide. It is expected that the proposed technique will maximize the use of real-time ITS data and improve data needs in the urban transportation planning process.

This paper appears in Transportation Research Record No. 1879, Information Systems and Technology.

00984538

English

p. 80-88

2004

Transportation Research Record

0309094747

Figures (5) ; References (11) ; Tables (2)

Case studies; Computer programs; Intelligent transportation systems; Real time data processing; Transportation planning; Urban transportation; Wavelets

Data aggregation

Double-sided technique

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

TRIS, TRB, ATRI

Jan 13 2005 12:00AM

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