00802584

Component

https://doi.org/10.3141/1710-08

http://scholar.google.com...Owen&publication_year=2000

A multistage validation framework that accounts for the realistic nature of traffic simulation output data is proposed. The framework consists of conceptual validation and operational validation. The operational validation comprises a qualitative approach, which involves static and animated Turing tests, and a quantitative approach, which involves three levels of statistical tests. Particularly in the third-level statistical test, the autocorrelation and nonstationary nature of traffic simulation output data is emphasized, its implications on validation methods are explored, and a univariate nonseasonal autoregressive-integrated-moving-average (ARIMA) modeling approach is proposed. Finally, numerical results for an actual freeway network are presented. The validation results illustrate that the proposed multistage validation procedure can account for the complexity of the validation task and its conclusions.

This paper appears in Transportation Research Record No. 1710, Traffic Flow Theory and Highway Capacity 2000.

English

p. 69-78

2000

Transportation Research Record

0309066891

Figures (8) ; References (14)

Autocorrelation; Case studies; Freeways; Statistical analysis; Traffic models; Traffic simulation; Validation

ARMA (Auto-Regressive Moving Average model)

Turing tests

Data and Information Technology; Highways; Operations and Traffic Management; I71: Traffic Theory

TRIS, TRB, ATRI

Nov 29 2000 12:00AM

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