Research Article

Modeling the Traveler’s Route Choice Behavior under Unexpected Accidents

Table 3

Parameters estimation results of different models.

ScenariosParametersIGRRM modelGRRM modelRUM model
EstimationSig.EstimationSig.EstimationSig.

Smooth−3.10570.0000−0.98720.0000−4.74410.0000
−0.29440.0000−0.10540.0000−0.58110.0000
0.70700.00000.66060.0000
0.47770.0000
0.67420.0000
0.78070.77980.7796
0.77710.77690.7782
640.321637.6386627.5291

Mild congestion−0.72220.0000−1.06700.0000−4.26180.0000
−0.48000.0000−0.13610.0000−0.73370.0000
0.50960.00000.75280.0000
0.53420.0000
0.03320.0000
0.72400.72380.7240
0.72050.72100.7225
798.9845794.3076783.3313

Moderate congestion0.07760.0000−0.35930.0176−3.00370.0000
−0.90790.0000−0.12170.0000−0.81010.0000
0.10040.00355.030410−70.0007
0.73560.0000
−0.24360.0000
0.24110.23590.2295
0.23750.23310.2281
2150.82160.12167.3

Serious congestion0.21810.0000−1.89870.0000−10.27050.0000
−0.59360.0000−0.07090.0000−0.40120.0000
0.10020.00007.504710−50.0000
0.55960.0000
−1.44000.0000
0.23160.20630.1842
0.22810.20350.1828
2177.42242.92294.2

Note. — denotes the parameter not involved in the model.