Reliability assessment of dynamic OD estimation methods based on structural similarity index

Abstract

The statistical measures used for quality assessment of estimated OD matrices typically quantify the difference between the estimated OD matrix and available true/reference OD matrix. Although the underlying rationale makes sense intuitively, the actual statistical measures in literature, such as MSE, do not capture the most important aspect: the structural similarity of the estimated and reference OD matrix. In this paper we propose a new quality measure that does incorporate such a term, so-called Structural SIMilarity (SSIM) index. In this paper we explore the application perspectives of SSIM index for this purpose. First, we investigate the properties of SSIM index compared to some statistical measures. Then, we show how SSIM index can be used as additional performance measure for benchmarking the dynamic OD estimation methods. More over, we provide insight into how SSIM index can be used further as a new performance function to estimate dynamic OD matrices.

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