Developing operating speed models for elevated multilane urban arterials using artificial neural networks

Journal of Engineering and Applied Science

Table 4 Spearman correlation analysis for dataset # 1

Variables		V₈₅C_(n-1)	TL	V₈₅T	R	CL	PS	NL	V₈₅C _(n)
V₈₅C_(n-1)	Correlation coefficient	1.000	0.323^a	0.453^b	0.326^a	0.147	0.262^a	0.363^b	0.413^b
V₈₅C_(n-1)	Sig.	1.000	0.013	0.000	0.012	0.268	0.045	0.005	0.001
TL	Correlation coefficient	0.323^a	1.000	0.425^b	0.359^b	0.240	0.368^b	0.126	0.412^b
TL	Sig.	0.013	1.000	0.001	0.005	0.067	0.004	0.340	0.001
V₈₅T	Correlation Coefficient	0.453^b	0.425^b	1.000	0.370^b	0.186	0.331^a	0.300^a	0.476^b
V₈₅T	Sig.	0.000	0.001	1.000	0.004	0.159	0.011	0.021	0.000
R	Correlation Coefficient	0.326^a	0.359^b	0.370^b	1.000	0.250	0.649^b	0.264^a	0.646^b
R	Sig.	0.012	0.005	0.004	1.000	0.056	0.000	0.044	0.000
CL	Correlation Coefficient	0.147	0.240	0.186	0.250	1.000	.268^a	-0.143	0.071
CL	Sig.	0.268	0.067	0.159	0.056	1.000	0.040	0.279	0.593
PS	Correlation Coefficient	0.262^a	0.368^b	0.331^a	0.649^b	0.268^a	1.000	0.109	0.366^b
PS	Sig.	0.045	0.004	0.011	0.000	0.040	1.000	0.410	0.004
NL	Correlation Coefficient	0.363^b	0.126	0.300^a	0.264^a	-0.143	0.109	1.000	0.380^b
NL	Sig.	0.005	0.340	0.021	0.044	0.279	0.410	1.000	0.003
V₈₅C _(n)	Correlation Coefficient	0.413^b	0.412^b	0.476^b	0.646^b	0.071	0.366^b	0.380^b	1.000
V₈₅C _(n)	Sig.	0.001	0.001	0.000	0.000	0.593	0.004	0.003	1.000