Development of Ideal Hump Geometric Characteristics for Different Vehicle Types “Case Study” Urban Roads in Kafr El-Sheikh City (Egypt)
Table 5
Results of the best achieved model for speed hump characteristics on hump-crossing speed.
Model
Variable
Constant
L
H
S
R2
ANOVA (F)
Microbuses
A1
Coefficient
−0.760
4.446
—
0.012
0.879
76.032 (0)
t ( value)
−0.624
10.462
—
2.038
A2
Coefficient
5.027
4.857
−26.653
—
0.879
48.272 (0)
t ( value)
1.558
11.954
−0.804
—
A3
Coefficient
0.973
4.491
−14.880
0.010
0.880
48.720 (0)
t ( value)
0.219
10.029
−0.407
1.446
Passenger cars
B1
Coefficient
−2.026
5.457
—
0.018
0.905
99.898 (0)
t ( value)
−1.513
11.691
—
2.878
B2
Coefficient
10.085
5.978
−93.256
—
0.904
98.577 (0)
t ( value)
2.909
13.773
−2.816
—
B3
Coefficient
4.85
5.638
−59.040
0.012
0.915
71.826 (0)
t ( value)
1.048
12.078
−1.548
1.633
Motorcycles
C1
Coefficient
−0.507
5.778
—
0.025
0.856
69.499 (0)
t ( value)
−0.287
9.391
—
3.001
C2
Coefficient
15.74
6.511
−121.051
—
0.865
42.666 (0)
t ( value)
3.320
10.909
−2.486
C3
Coefficient
8.445
6.013
−76.866
0.017
0.882
50.048 (0)
t ( value)
1.383
9.760
−1.527
1.746
Note. “t” means the t-test statistic; the best model; H is the height of speed hump in meter, L is the length of speed hump in meter, and S is the spacing between two consecutive speed humps.