Research Article

Dynamic O-D Demand Estimation: Application of SPSA AD-PI Method in Conjunction with Different Assignment Strategies

Table 7

Evaluation of the estimated demand in terms of O–D aggregated distribution in time.

Reference values [ref.]Euclidean distance seed-true Time interval (minutes)
0–205–2510–3015–35
700700693682

Set IEuclidean distance seed-estimated
[% diff. respect to Ref]
Euclidean distance true-estimated
[% diff. with respect to ref]

Set IIEuclidean distance seed-estimated
[% diff. with respect to ref.]
Euclidean distance true-estimated
[% diff. with respect to ref.]

Set IVEuclidean distance seed-estimated
[% diff. with respect to ref.]
Euclidean distance true-estimated
[% diff. with respect to ref.]

Set VEuclidean distance seed-estimated
[% diff. with respect to ref.]
Euclidean distance true-estimated
[% diff. with respect to ref.]

Set VIEuclidean distance seed-estimated
[% diff. with respect to ref.]
Euclidean distance true-estimated
[% diff. with respect to ref.]

Set VIIEuclidean distance seed-estimated
[% diff. with respect to ref.]
Euclidean distance true-estimated
[% diff. with respect to ref.]

Set VIIIEuclidean distance seed-estimated
[% diff. with respect to ref.]
Euclidean distance true-estimated
[% diff. with respect to ref.]