Research Article

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

Table 4

Evaluation of the estimated demand as the Euclidean distance from the true O–D matrix and the total number of trips.

Reference valuesEuclidean distance
seed-true
459
Total trips
seed matrix
12,638
Total trips
true matrix
18,900
ExperimentsEuclidean distance
seed-estimated
Euclidean distance
true-estimated
Total trips
estimated demand

Set I
 Average value826.17820.0717,230
 St.dev.144.04125.741,714
Set II
 Average value817.15786.8617,786
 St.dev.92.4783.582.648
Set IV
 Average value782.41770.0517,379
 St.dev.153.4291.242,641
Set V
 Average value437.04548.8215,256
 St.dev.218.20102.332,115
Set VI
 Average value414.52527.8115,183
 St.dev.199.0980.781,496
Set VII
 Average value775.20760.2617,403
 St.dev.212.36152.682,062
Set VIII
 Average value192.48465.0513,307
 St.dev.63.4612.11466