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From page 58...
... 56 CHAPTER 6 VISIBILITY EXPERIMENTS Two human-subjects experiments were conducted to determine the effects of headlamps and sag vertical curves on visibility. The first experiment, called the Smart Road study, examined the effects of varying types of headlamps.
From page 59...
... 57 Independent Variables Several independent variables were manipulated or controlled for this experiment. They are listed below.
From page 60...
... 58 Figure 21. Determining detection distance.
From page 61...
... 59 minimum of 20/40 was required for participation. Participants were allowed to wear corrective lenses if they indicated that they normally wear them while driving.
From page 62...
... 60 Figure 22. Primary sag vertical curve on the Smart Road.
From page 63...
... 61 of the tangent lines were calculated to determine the algebraic change in grade while the horizontal distance between the two tangent points was used to determine the length of the curves. Table 25 summarizes this information.
From page 64...
... 62 Figure 25. Example of Targets used in the Visibility Experiment.
From page 65...
... 63 Table 26. Headlamps Headlamp Abbreviation Description Original Vehicle Photo HHB Standard Halogen High Beam 2000 Ford Explorer HLB Standard Halogen Low Beam 2000 Ford Explorer VOLHID1 Visually Optically Aligned Left HID 2001 Mercedes S500 VOLHID2 Visually Optically Aligned Left HID 2003 Mercedes E320 VORHID Visually Optically Aligned Right HID 2003 Lincoln Navigator VORHAL Visually Optically Aligned Right Halogen 2003 Lincoln Navigator The test vehicles were also equipped with data acquisition systems (DAS)
From page 66...
... 64 experimenter, as well as network data such as speed and distance. Detection distance was determined by analysis of this data.
From page 67...
... 65 Participants drove 2 laps with each headlamp for a total of 12 laps. Starting from the headlamp changing area, participants drove through the flat area and across the large curve.
From page 68...
... 66 Table 27. Headlamp Presentation Orders Order 1 Order 2 Order 3 Order 4 Halogen Low Beam VOR Halogen VOR HID VOL HID 1 Halogen High Beam VOL HID 2 Halogen High Beam VOR Halogen VOL HID 1 Halogen Low Beam Halogen Low Beam VOR HID VOL HID 2 Halogen High Beam VOR Halogen Halogen High Beam VOR HID VOL HID 1 VOL HID 2 Halogen Low Beam VOR Halogen VOR HID VOL HID 1 VOL HID 2 Not all objects were presented in every curve.
From page 69...
... 67 curve was left to each participant's discretion, and was generally between 25 and 35 mph. Because speed may have an impact on detection distance, vehicle speed was used as the covariate in each of the three analyses.
From page 70...
... 68 Figure 27. Mean detection distance by headlamp.
From page 71...
... 69 A significant interaction was found between curve and age. Younger participants had significantly longer detection distances than did older participants on the flat roadway, and in every curve.
From page 72...
... 70 Figure 31 shows the significant interaction of headlamp and curve. The mean detection distance for the flat roadway was significantly longer than for any of the sag curves for every headlamp except for the HHB.
From page 73...
... 71 viewed with a high contrast background (the opposite side of the curved road) , whereas the pedestrian had a low contrast background when viewed on the flat road (sky)
From page 74...
... 72 significant interaction found here for light source was most likely due to a confounding effect of beam pattern. Figure 33.
From page 75...
... 73 Figure 34. Mean detection distance by curve and pattern.
From page 76...
... 74 A separate set of analyses was performed for the detection of speed limit signs, which only appeared on the flat roadway. The only significant factor for all three analyses was age.
From page 77...
... 75 Public Road study. Specifically the VOLHID2 and VORHID headlamps were selected so that a direct comparison of beam pattern could be made without the potential confound of light source.
From page 78...
... 76 Figure 37. Determining detection distance.
From page 79...
... 77 Table 32. Visual Acuity Scores Visual Acuity (Snellen)
From page 80...
... 78 Figure 38. Test route (Source: Google)
From page 81...
... 79 Table 34. Sag Vertical Curve Measurements Road Name Road Type Design Speed (mph)
From page 82...
... 80 Table 35. Headlamps Headlamp Abbreviation Description Original Vehicle Photo VOL Visually Optically Aligned Left HID Mercedes E320 VOR Visually Optically Aligned Right HID Lincoln Navigator The test vehicles were also equipped with DASs.
From page 83...
... 81 participants read aloud the number on any speed limit sign they encountered as soon as they could read it. This task was used only to keep participants active and alert during long stretches between sag vertical curves.
From page 84...
... 82 Table 37. ANCOVA Results for the Headlamp Analysis Source DF Type III SS Mean Square F Value Pr > F Sig Age 1 2940.6471 2940.6471 0.27 0.6108 Headlamp 1 11246.658 11246.658 3.51 0.0766 Age*
From page 85...
... 83 Figure 39. Mean detection distance by curve.
From page 86...
... 84 Figure 40. Mean detection distance by curve length.
From page 87...
... 85 correlation was found where a larger K value tends to result in longer detection distances. The two residential curves which had mean detection distances which were significantly shorter than flat roadway had the lowest KR values.

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