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Publication Number:  FHWA-HRT-17-075    Date:  March 2018
Publication Number: FHWA-HRT-17-075
Date: March 2018

 

Safety Evaluation of Profiled Thermoplastic Pavement Markings

Chapter 6. Before–After Evaluation Results

Aggregate Analysis

Table 10 details the Florida results, and table 11 details the South Carolina results. These results include the estimates of predicted crashes in the after period without treatment, the observed crashes in the after period, and the estimated CMF and its SE for all crash types considered. The results were consistent between the two States in that no CMF results were statistically significantly different from 1.0. Both States also indicated a modest reduction in total crashes and a reduction in nighttime wet-road crashes of approximately 10 percent, although these were not statistically significant at the 95-percent confidence level.

Table 10. Results for Florida.

Crash Type

EB Estimate of Crashes Predicted in After Period Without Strategy

Count of Crashes Observed in After Period

Estimate of CMF

SE of Estimate of CMF

Total

1,136.28

1,085

0.954

0.035

Injury

582.48

590

1.012

0.049

ROR

182.59

172

0.941

0.080

Head-on

19.47

24

1.229

0.259

Wet-road

204.13

201

0.983

0.078

Nighttime

348.31

352

1.010

0.062

Nighttime wet-road

63.52

58

0.910

0.129

 

Table 11. Results for South Carolina.

Crash Type

EB Estimate of Crashes Predicted in After Period Without Strategy

Count of Crashes Observed in After Period

Estimate of CMF

SE Error of Estimate of CMF

Total

789.81

779

0.986

0.041

Injury

312.59

281

0.898

0.060

ROR

254.45

292

1.146

0.078

Head-on + sideswipe-opposite-direction

49.09

44

0.894

0.143

Sideswipe-same-direction

35.57

36

1.009

0.177

Wet-road

152.73

157

1.027

0.089

Nighttime

281.57

261

0.926

0.064

Nighttime wet-road

60.76

55

0.903

0.131

 

Table 12 provides the results for the combined Florida and South Carolina data for the crash types analyzed in both States. Even with the combined data, none of the estimated CMFs were statistically significant at the 95-percent confidence level.

Table 12. Combined results for Florida and South Carolina.

Crash Type

EB Estimate of Crashes Predicted in After Period Without Strategy

Count of Crashes Observed in After Period

Estimate of CMF

SE of Estimate of CMF

Total

1,926.09

1,864

0.968

0.027

Injury

895.07

871

0.973

0.038

ROR

437.04

464

1.061

0.056

Wet-road

356.86

358

1.003

0.059

Nighttime

629.87

613

0.973

0.045

Nighttime wet-road

124.28

113

0.908

0.092

Disaggregate Analysis

An attempt was made to further analyze the combined dataset for nighttime wet-road crashes to identify site characteristics for which the safety benefits might be greatest. Only nighttime wet-road crashes were considered because this was a key target crash type and the only one that showed some consistency and sizable effect for both States; however, the CMF estimates were still not statistically significant at the 95-percent confidence level.

The following variables were investigated:

The project team saw no differences or clear trends in the estimated CMF for any of the geometric variables or AADT. Therefore, for this dataset, the expected effect of this strategy on nighttime wet-road crashes was the same, regardless of differences in these aspects of the roadway environment.

There were some indications that the CMF for nighttime wet-road crashes might be smaller (a larger benefit) for sites with higher expected nighttime wet-road crash frequency per mi prior to treatment. However, the sample was too small for a robust conclusion in this regard.

 

 

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