Jim Sherwood, U. S. Federal Highway Administration, Turner Fairbank Highway Research Center, Infrastructure Research and Development Roya Amjadi, U. S.

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Presentation transcript:

Jim Sherwood, U. S. Federal Highway Administration, Turner Fairbank Highway Research Center, Infrastructure Research and Development Roya Amjadi, U. S. Federal Highway Administration, Turner Fairbank Highway Research Center, Safety Research and Development Gerardo Flintsch, Center for Sustainable Transportation Infrastructure, Virginia Tech Transportation Institute 1 Case Study: Ran off the Road Crash Variation with Pavement Friction LTPP GPS and SPS Reduced Friction Effect on Safety

Long Term Pavement Performance Program The objective of this research is to investigate the relation between safety and skid number with a case study: kM (17.12 mi) on an Interstate NB was constructed in 1972 with an open graded friction course. In June 1995, it was milled and overlaid with a dense grade asphalt concrete due to pavement deterioration LTPP, GPS-1 test section had a four year average friction number of 66 before the overlay, and 44 after the overlay. 2

SPS and GPS Project

Pavement centerline cracks and bleeding “Before” 4

SPS Project “After” Overlay 5

6

Gradation Curves for Asphalt Concretes 7

Friction Number “Before” and “After” 8

Data Sources FHWA, Highway Safety Information System (HSIS) crash data files were used for this study: Accident type (run off road, rollover, jackknife, rear end, object in road) and severity Date and time Location (nearest 0.1 mi. GIS MP) Road surface conditions (wet, dry, snow/ice) Number and types of vehicles. 9

10

11 Links have different lengths and AADTs Link numbers, Lengths, Average AADT for Before and After Link number Length kM (mi) Average AADT 1/1/85 to 7/1/95 Average AADT 7/1/95 to 11/1/ (1.88) 3536 VPD 4222 VPD (2.02) (2.34) (1.65) (0.81) (0.20) (2.64) (0.44) (2.44) (1.07) (1.31) (0.20) 2862 VPD3463 VPD

Did crashes increase in “After” period? Methodology Did crashes increase in “After” period? Compared crash rates for “Before” and “After” periods for each link. Crash Rate (crashes per 100 million Vehicle Miles Travelled): Crash Rate= (# Crashes x 10 8 ) / (AADT x link length x days) Note: Traffic volumes, speed limits, and number of lanes remained constant except for maintenance and rehabilitation. 12

13 BeforeAfter

Methodology Results show that crashes increased for “After” period. Need to determine if crash increases in “After” period were related to lower skid number. Wet pavement crashes were used to examine the low skid influence on crashes. 14

Methodology To design the statistical analysis study two questions that need to be answered; What type of crashes are directly influenced by wet Pavement? How significant are crash frequency changes in “After” period? 15

Methodology “ Used “Ran-off-road” crashes, and “wet” and “dry” pavement condition only. Used crash Odd Ratios (OR) for After/Before for different pavement surface condition (i.e. dry, wet) to identify the magnitude of the crashes increase. Odds <= 1.00 is not considered a “risk factor.” Used Z-Test to compare proportions in “After” and “Before” periods for each type of surface condition (only for odds>1). 16

17

Study Period: 01/01/1985 to 11/01/2004 Total Crashes = 325 Before overlay Crashes = 142 After overlay crashes =

Study Period: 01/01/1985 to 11/01/2004 Total Crashes = 175 Before overlay = 64 crashes After overlay = 111 crashes 19 Accident type Before (1/1/85-6/30/95)After (7/1/95-11/1/04) DryWetTotalDryWetTotal 1. Ran off Road Rear end Rollover Jackknife Object in road Fixed object Total

“Before” “ran-off-road” wet to dry ratio (4/32) = “After” “ran-off-road” wet to dry ratio (24/26) = 0.92 “Before” “total” wet to dry ratio (6/58) = “After” “total” wet to dry ratio (29/82) =

Conclusions When a 23 year old open graded friction course was overlaid in 1995 with a dense graded hot mix asphalt concrete the four year average pavement skid number went from 66 to 44. Reduced pavement friction after overlay is probably one of the factors that contributed to  39% increase in ran-off-road crashes, and  500% increase in ran-off-road crashes on “wet” pavement.  Increase of ran-off-road crashes on “wet” pavement in the “After” period is highly significant (P-Value=.00012) 21

Increased Crash Risk on a Wet Pavement Surface 22

Relative Risk on Wet versus Dry Pavement Surface Before: On open graded friction course (1/1/85 to 6/30/95) if we assume the road surface is dry 88.9 % of the time, there is no increased risk of running off the road if the surface becomes wet: After: On the dense graded overlay (7/1/85 to 11/1/04) if it is dry 88.9 % of the time, there is a 740 % increased risk of running off the road when the surface becomes wet: 23

Thank you for your time and attention 24 Questions? Jim Sherwood and Roya Amjadi Gerardo Flintsch

7 th Symposium on Pavement Surface Characteristics SURF 2012 Smooth, Safe, Quiet, and Sustainable Travel through Innovative Technologies Deadline for submission of abstracts: July 31, Norfolk, VA, September, 19-21, 2012