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Publication Number: FHWA-HRT-12-068
Date: December 2012

 

Curl and Warp Analysis of The LTPP SPS-2 Site in Arizona

APPENDIX B. DATA QUALITY SCREENING

A screening process was performed to select five repeat profile measurements from each visit of each section. The five measurements selected from the group of either five, seven, or nine available runs were those that exhibited the best agreement with each other. In this case, agreement between any two profile measurements was judged by cross correlating them after applying the IRI filter.(10)  In this method, the IRI filter is applied to the profiles, then the output signals, rather than the overall index, are compared. High correlation by this method requires that the overall roughness is in agreement, as well as the details of the profile shape that affect IRI. The IRI filter was applied before correlation in this case for the following reasons:

The method was performed with a special provision for correcting modest longitudinal distance measurement errors.

Each comparison between profiles produced a single value that summarized their level of agreement. When 9 repeat profile measurements were available, they produced a total of 36 correlation values. Any subgroup of 5 measurements could be summarized by averaging the appropriate 10 correlation values. The subgroup that produced the highest average was selected, and the other repeats were excluded from the analyses discussed in this report. Table 9 through table 29 list the selected repeats for each visit of each section and the composite correlation level produced by them.

The process used for selecting five repeat measurements from a larger group is similar to the practice within LTPP except that it uses composite agreement in profiles rather than the overall index value. The correlation levels listed in table 9 through table 29 provide a repeatability score and appraise the agreement between profile measurements for each visit of each section. When two profiles produce a correlation level above 0.82, their IRI values are expected to agree within 10 percent most (95 percent) of the time. Above this threshold, the agreement between profiles is usually acceptable for studying the influence of distresses on the profile. When two profiles produce a correlation level above 0.92, they are expected to agree within 5 percent most of the time. Above this threshold, the agreement between profiles is good. Correlation above 0.92 often depends on consistent lateral tracking of the profiler and may be very difficult to achieve on highly distressed surfaces. The IRI values in this report are the average of five observations, which tightens the tolerance even further.

Table 9. Selected Repeats for Section 0213.

Visit Repeat Number Composite Correlation
01 2 3 6 7 8 0.935
02 2 5 6 7 9 0.902
03 1 3 5 6 8 0.971
04 1 3 4 5 7 0.953
05 1 2 5 6 7 0.965
06 1 3 4 5 6 0.963
07 4 5 6 7 9 0.948
08 1 2 4 7 9 0.936
09 1 3 4 5 7 0.948
10 1 2 6 7 8 0.947
11 2 3 4 7 9 0.900
12 1 4 5 7 8 0.853
13 1 2 3 4 5 0.812
14 1 3 4 5 6 0.771
15 1 4 5 7 9 0.769

 

Table 10. Selected Repeats for Section 0214.

Visit Repeat Numbers Composite Correlation
01 2 3 5 6 8 0.909
02 2 4 6 7 8 0.822
03 2 3 4 5 8 0.912
04 1 3 4 5 7 0.900
05 1 3 4 5 6 0.903
06 2 3 4 6 7 0.926
07 1 2 5 6 8 0.953
08 1 2 5 6 7 0.950
09 1 3 5 6 8 0.937
10 2 3 5 6 8 0.935
11 3 5 6 7 8 0.924
12 2 3 4 7 8 0.945
13 4 5 6 8 9 0.959
14 1 3 4 7 8 0.927
15 2 4 5 6 9 0.955

 

Table 11. Selected Repeats for Section 0215.

Visit Repeat Numbers Composite Correlation
01 1 3 4 5 8 0.930
02 1 3 5 7 8 0.920
03 5 6 7 8 9 0.962
04 1 3 4 5 7 0.922
05 1 2 4 6 7 0.967
06 1 2 4 6 7 0.955
07 1 3 4 8 9 0.976
08 4 5 6 7 9 0.987
09 3 5 6 7 8 0.943
10 1 3 5 8 9 0.933
11 1 2 3 5 7 0.948
12 2 4 5 6 7 0.981
13 2 3 4 7 9 0.976
14 1 2 7 8 9 0.969
15 2 3 4 5 8 0.965
S01 2 3 4 5 7 0.936
S02 1 2 3 4 5 0.966
S03 1 2 3 4 5 0.955
S04 1 2 3 4 5 0.921
S05 1 2 3 4 5 0.937
S06 1 2 3 4 5 0.959
S07 1 2 3 4 5 0.936
S08 2 3 4 5 6 0.959
S09 1 2 3 4 7 0.977
S10 1 3 4 5 9 0.972
S11 2 3 5 6 7 0.979
S12 1 2 3 6 8 0.983
S13 1 3 4 5 7 0.979
S14 2 3 5 6 7 0.965
S15 4 5 6 7 9 0.960
S16 1 2 3 4 5 0.965
S17 1 2 3 4 6 0.976
S18 1 4 7 8 9 0.947
S19 2 3 5 6 9 0.963
S20 2 4 6 7 9 0.960
S21 1 3 4 5 6 0.972
S22 3 4 6 7 9 0.975
S23 3 4 5 8 9 0.964
S24 1 4 5 6 9 0.957
S25 1 2 4 7 9 0.975
S26 1 2 4 5 6 0.973
S27 1 2 3 8 9 0.972
S28 4 6 7 8 9 0.961
S29 1 2 3 4 8 0.973
S30 2 4 6 7 8 0.978
S31 3 4 6 7 8 0.978
S32 1 2 3 4 6 0.976

 

Table 12. Selected Repeats for Section 0216.

Visit Repeat Numbers Composite Correlation
01 3 5 6 8 9 0.922
02 3 5 7 8 9 0.892
03 1 2 3 5 7 0.927
04 1 2 4 5 6 0.930
05 1 2 3 5 6 0.951
06 2 3 4 5 6 0.948
07 2 3 4 6 9 0.968
08 2 3 4 6 8 0.957
09 1 2 4 5 8 0.930
10 1 3 4 6 7 0.937
11 2 4 5 6 9 0.910
12 1 4 6 7 8 0.949
13 2 4 7 8 9 0.954
14 2 3 6 8 9 0.938
15 1 2 3 4 8 0.948

 

Table 13. Selected Repeats for Section 0217.

Visit Repeat Numbers Composite Correlation
01 4 6 7 8 9 0.925
02 1 4 5 6 8 0.876
03 3 4 6 8 9 0.951
04 2 3 4 6 7 0.916
05 1 2 3 6 7 0.915
06 1 2 4 5 7 0.939
07 4 5 6 8 9 0.963
08 1 2 3 6 9 0.957
09 1 2 3 4 5 0.921
10 1 2 3 7 9 0.907
11 1 2 6 7 9 0.875
12 1 3 5 6 7 0.957
13 2 3 4 6 9 0.911
14 1 2 5 7 9 0.933
15 1 5 6 7 9 0.838

 

Table 14. Selected Repeats for Section 0218.

Visit Repeat Numbers Composite Correlation
01 1 2 5 7 9 0.898
02 2 4 5 8 9 0.818
03 1 3 6 7 9 0.909
04 1 3 4 5 7 0.891
05 1 2 3 4 5 0.888
06 2 3 4 6 7 0.923
07 1 2 3 6 9 0.944
08 1 3 4 7 8 0.951
09 2 3 5 6 7 0.892
10 1 2 4 7 9 0.906
11 1 2 3 6 7 0.889
12 4 5 6 7 9 0.928
13 2 3 6 8 9 0.931
14 1 3 7 8 9 0.947
15 1 3 6 7 8 0.921

 

Table 15. Selected Repeats for Section 0219.

Visit Repeat Numbers Composite Correlation
01 3 5 6 7 9 0.902
02 1 2 5 6 8 0.870
03 2 4 7 8 9 0.931
04 1 3 4 6 7 0.920
05 1 2 3 5 7 0.928
06 2 3 4 6 7 0.942
07 2 4 6 8 9 0.955
08 1 2 5 6 8 0.954
09 1 2 3 7 9 0.923
10 1 2 5 6 8 0.932
11 4 5 6 7 8 0.936
12 1 4 6 7 8 0.970
13 2 3 4 8 9 0.954
14 1 3 4 5 6 0.951
15 4 5 6 7 9 0.931

 

Table 16. Selected Repeats for Section 0220.

Visit Repeat Numbers Composite Correlation
01 5 6 7 8 9 0.910
02 3 4 5 6 9 0.871
03 1 2 6 7 8 0.917
04 1 3 4 6 7 0.898
05 2 3 4 6 7 0.950
06 1 2 5 6 7 0.950
07 1 2 5 7 9 0.935
08 2 3 4 5 6 0.958
09 1 2 3 6 8 0.915
10 2 3 4 6 7 0.929
11 1 2 5 6 9 0.938
12 3 4 6 7 8 0.936
13 2 3 6 7 9 0.932
14 2 4 5 6 7 0.944
15 1 3 6 8 9 0.936

 

Table 17. Selected Repeats for Section 0221.

Visit Repeat Numbers Composite Correlation
01 1 4 6 8 9 0.890
02 4 6 7 8 9 0.838
03 1 2 4 6 9 0.901
04 1 2 4 5 6 0.882
05 1 2 3 5 6 0.936
06 1 2 4 5 7 0.946
07 1 2 5 6 9 0.932
08 1 5 6 8 9 0.946
09 1 5 6 7 8 0.825
10 1 3 4 6 8 0.861
11 2 4 5 6 7 0.857
12 3 4 5 6 7 0.943
13 1 2 3 5 6 0.907
14 1 2 3 4 6 0.949
15 2 5 7 8 9 0.934

 

Table 18. Selected Repeats for Section 0222.

Visit Repeat Numbers Composite Correlation
01 4 5 6 8 9 0.898
02 1 4 5 6 7 0.816
03 1 3 5 6 9 0.942
04 1 3 5 6 7 0.857
05 2 3 4 6 7 0.929
06 2 3 4 5 7 0.920
07 2 4 5 6 8 0.943
08 2 4 5 7 8 0.948
09 1 2 4 6 7 0.900
10 1 2 3 5 6 0.880
11 2 3 4 6 8 0.853
12 2 3 6 7 8 0.935
13 2 3 5 6 9 0.931
14 2 3 4 6 7 0.914
15 2 6 7 8 9 0.910

 

Table 19. Selected Repeat for Section 0223.

Visit Repeat Numbers Composite Correlation
01 1 2 6 7 9 0.892
02 1 3 4 8 9 0.893
03 4 5 6 7 9 0.934
04 3 4 5 6 7 0.948
05 1 2 3 6 7 0.943
06 1 2 3 4 6 0.953
07 1 2 3 6 8 0.956
08 3 4 5 6 9 0.960
09 3 6 7 8 9 0.949
10 1 2 3 5 8 0.914
11 5 6 7 8 9 0.946
12 2 4 5 6 9 0.972
13 2 3 4 8 9 0.956
14 3 5 6 8 9 0.965
15 3 4 6 8 9 0.951

 

Table 20. Selected Repeats for Section 0224.

Visit Repeat Numbers Composite Correlation
01 3 4 6 8 9 0.894
02 4 5 6 8 9 0.837
03 2 3 4 6 7 0.907
04 1 2 3 4 5 0.863
05 1 2 3 6 7 0.873
06 2 3 5 6 7 0.921
07 2 3 5 6 7 0.940
08 2 4 6 7 8 0.932
09 1 2 4 5 8 0.917
10 2 4 6 8 9 0.960
11 1 2 4 7 9 0.873
12 1 2 6 7 8 0.939
13 5 6 7 8 9 0.950
14 3 6 7 8 9 0.905
15 1 2 3 5 9 0.918

 

Table 21. Selected Repeats for Section 0260.

Visit Repeat Numbers Composite Correlation
01 1 2 3 4 7 0.939
02 3 5 6 8 9 0.899
03 1 2 5 6 8 0.932
04 3 4 5 6 7 0.885
05 1 2 4 5 7 0.921
06 2 4 5 6 7 0.920
07 1 3 4 6 9 0.952
08 2 3 6 7 9 0.962
09 1 3 4 6 8 0.921
10 1 2 5 7 8 0.897
11 1 2 5 6 7 0.837
12 1 3 4 6 8 0.889
13 1 3 5 6 8 0.799
14 1 2 3 4 6 0.882
15 1 3 4 5 6 0.866

 

Table 22. Selected Repeats for Section 0261.

Visit Repeat Numbers Composite Correlation
01 3 5 6 8 9 0.916
02 2 4 6 7 9 0.872
03 5 6 7 8 9 0.910
04 1 3 5 6 7 0.857
05 3 4 5 6 7 0.926
06 1 2 4 5 7 0.896
07 3 4 5 6 7 0.937
08 1 3 4 5 7 0.940
09 1 2 3 4 9 0.866
10 1 2 5 6 7 0.860
11 1 4 5 6 7 0.766
12 4 5 6 8 9 0.882
13 2 3 4 7 8 0.893
14 1 2 3 6 7 0.877
15 1 2 3 5 9 0.922

 

Table 23. Selected Repeats for Section 0262.

Visit Repeat Numbers Composite Correlation
01 4 5 6 8 9 0.867
02 1 4 5 7 9 0.859
03 2 3 5 6 7 0.965
04 2 3 4 5 7 0.969
05 1 2 3 4 5 0.981
06 2 3 4 5 6 0.980
07 2 5 6 8 9 0.981
08 2 3 5 6 7 0.986
09 1 2 3 4 6 0.976
10 2 3 4 6 7 0.975
11 2 3 4 6 7 0.978
12 1 4 5 8 9 0.982
13 2 3 5 7 9 0.949
14 1 4 7 8 9 0.959
15 1 2 5 8 9 0.974

 

Table 24. Selected Repeats for Section 0263.

Visit Repeat Numbers Composite Correlation
01 3 6 7 8 9 0.839
02 1 6 7 8 9 0.813
03 1 2 3 5 9 0.940
04 1 2 3 4 5 0.936
05 2 3 4 5 7 0.939
06 1 2 3 4 6 0.942
07 1 3 5 7 9 0.947
08 2 3 5 7 9 0.944
09 2 5 6 7 8 0.884
10 1 2 4 5 9 0.932
11 1 2 4 5 7 0.855
12 2 3 4 6 7 0.949
13 2 4 5 6 8 0.941
14 2 3 5 7 8 0.939
15 2 3 4 5 6 0.899

 

Table 25. Selected Repeats for Section 0264.

Visit Repeat Numbers Composite Correlation
01 2 3 4 5 8 0.906
02 1 5 6 7 8 0.931
03 1 2 4 6 8 0.938
04 2 3 4 5 6 0.940
05 2 3 5 6 7 0.964
06 1 2 3 6 7 0.951
07 1 2 5 6 8 0.962
08 1 4 5 6 7 0.969
09 1 3 4 7 8 0.904
10 3 4 5 7 8 0.894
11 1 2 4 5 6 0.911
12 1 3 6 8 9 0.968
13 2 4 6 8 9 0.946
14 1 2 4 6 7 0.962
15 1 2 3 4 5 0.937

 

Table 26. Selected Repeats for Section 0265.

Visit Repeat Numbers Composite Correlation
01 1 2 4 5 8 0.915
02 4 5 6 7 9 0.879
03 1 3 4 6 7 0.958
04 3 4 5 6 7 0.927
05 1 4 5 6 7 0.950
06 1 2 4 6 7 0.937
07 2 4 6 7 8 0.976
08 2 3 4 5 6 0.965
09 2 3 4 5 7 0.923
10 3 6 7 8 9 0.935
11 2 4 5 6 7 0.916
12 2 3 7 8 9 0.974
13 3 4 6 8 9 0.966
14 1 2 4 6 7 0.962
15 1 2 3 6 7 0.977

 

Table 27. Selected Repeats for Section 0266.

Visit Repeat Numbers Composite Correlation
01 1 4 6 7 9 0.886
02 1 2 3 5 6 0.885
03 1 2 7 8 9 0.941
04 1 2 3 4 6 0.901
05 1 2 3 4 6 0.972
06 1 2 3 5 6 0.943
07 1 4 6 7 8 0.958
08 2 3 4 5 6 0.963
09 3 4 7 8 9 0.902
10 1 3 5 7 8 0.949
11 1 4 5 7 9 0.934
12 1 2 5 6 9 0.947
13 1 2 4 5 8 0.960
14 1 3 4 5 8 0.950
15 1 3 4 5 6 0.937

 

Table 28. Selected Repeats for Section 0267.

Visit Repeat Numbers Composite Correlation
01 1 3 6 7 9 0.888
02 4 5 6 7 8 0.878
03 4 5 6 8 9 0.919
04 1 2 3 4 6 0.872
05 1 2 4 5 6 0.921
06 2 3 4 5 7 0.949
07 1 2 3 7 9 0.955
08 1 4 6 7 9 0.960
09 2 3 5 6 8 0.874
10 2 3 5 7 9 0.930
11 1 2 5 6 7 0.926
12 1 2 4 6 9 0.869
13 1 4 6 7 8 0.878
14 1 2 4 5 6 0.907
15 1 2 3 4 6 0.909

 

Table 29 . Selected Repeats for Section 0268.

Visit Repeat Numbers Composite Correlation
01 1 2 5 6 9 0.851
02 1 3 5 6 8 0.813
03 4 5 7 8 9 0.919
04 1 2 4 6 7 0.863
05 1 2 4 5 6 0.904
06 2 3 5 6 7 0.956
07 1 3 4 8 9 0.932
08 2 3 6 7 9 0.947
09 1 2 3 5 6 0.831
10 1 5 6 8 9 0.924
11 3 4 6 7 9 0.875
12 2 3 6 7 8 0.939
13 3 4 5 7 9 0.931
14 1 2 5 6 9 0.883
15 2 3 4 6 9 0.873

 

Only 9 of the 347 sets of selected repeat measurements listed in table 9 through table 29 exhibited a composite correlation below 0.82. Measurements of sections 0215 and 0262 produced the highest repeatability scores, whereas some profiles from visit 02 and from later visits of section 0213 produced the lowest scores. Fortunately, correlation was never low enough to impede the automated synchronization process. However, low repeatability scores prompted inspection of profile plots to help identify the cause. In visit 02, most of the profiles included short-wavelength content that was not correlated between repeat measurements. The effect was greatest in sections 0214, 0218, 0222, 0263, and 0268. It is suspected that the effect was caused by coarse surface texture, but that cannot be verified.

Other observations were as follows:

 


The Federal Highway Administration (FHWA) is a part of the U.S. Department of Transportation and is headquartered in Washington, D.C., with field offices across the United States. is a major agency of the U.S. Department of Transportation (DOT).
The Federal Highway Administration (FHWA) is a part of the U.S. Department of Transportation and is headquartered in Washington, D.C., with field offices across the United States. is a major agency of the U.S. Department of Transportation (DOT). Provide leadership and technology for the delivery of long life pavements that meet our customers needs and are safe, cost effective, and can be effectively maintained. Federal Highway Administration's (FHWA) R&T Web site portal, which provides access to or information about the Agency’s R&T program, projects, partnerships, publications, and results.
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