FHWA Project 475980-00001
Pavement Marking Demonstration Projects: States of Alaska and
Tennessee
Safety
Study - Update on Multi-State Retrospective Crash Study
Preliminary
Illinois Data Analysis
January
2008
The Illinois crash data for years 2000 through 2005, obtained
from 20,000 segments corresponding to roughly 5,000 miles for
each year, were analyzed to assess the safety effect of wider
edge lines. Because the data are cross-sectional in nature, (i.e.,
all of the roadways in one district (District 6) have wider edge
lines while the roadways in other districts have standard edge
lines), Before-After analysis could not be performed. Instead,
the data were analyzed by applying the Negative Binomial Regression
models on the count of crashes of various types while accounting
for temporal correlations that may exist in yearly crash counts
obtained from the same road segment into the analysis so as not
to overestimate the effect of wider edge lines. Intersection related
crashes were excluded from the analysis.
Types of crashes analyzed were Total accidents, Fatal and Injury
accidents, Night crashes, Wet crashes, Wet night crashes, Accidents
involving an older driver (>=55 years old), Night crashes involving
an older driver, and Run-Off-the-Road crashes. The Negative Binomial
Regression models included as many relevant variables that are
available in the database as possible such as Edge line width,
Skip line width, Lane width, Shoulder width, Median width, Area
type indicator (1= Rural, 2=Urban), Access control (0=uncontrolled,
1: partial control, 2: full control), Log of AADT, Log of Heavy
commercial vehicle volume, Number of lanes, and Number of special
lanes, as predictors and the segment length as an offset variable.
The regression coefficient of Edge line width was negative and
statistically significant, which indicates a positive safety effect
of wider edge lines (i.e., a smaller number of crashes is associated
with wider edge lines) for most crash types analyzed, i.e., for
Total accidents, Fatal and Injury accidents, Night crashes, Wet
crashes, Wet night crashes, and Run-Off-the-Road crashes. For
Wet crashes, Night crashes, Wet night crashes, and Run-Off-the-Road
crashes, the coefficients of Edge Line width were larger in absolute
value than that for Total accidents, which suggests that the effects
of wider edge lines are larger for those relevant crashes. The
signs of regression coefficients for other predictors were also
consistent with intuition, i.e., Lane width, Shoulder width, Median
Width, Access control, and Number of special lines have statistically
significant negative coefficients and Log of AADT and Log of Heavy
commercial vehicle volume have a statistically significant positive
coefficient.
These findings are preliminary and are subject to change upon
further analyses of additional state data. Specifically, it needs
to be noted that the information on additional delineation and
guidance measures as well as the roadway curvature information
were not available for the Illinois data, and could not be incorporated
into the analysis. Therefore, the above observations are based
on the assumption that the effects of the variables not in the
database such as those additional delineation/guidance measures
and the roadway curvature are the same (or averaged out) for the
sites with/without wider edge lines.
November
2007
With
respect to the retrospective multi-state crash analysis, the 2000
Illinois data have been compiled. Because the data are cross-sectional
in nature, (i.e., all of the roadways in one district (District
6) have wider edge lines while the roadways in other districts
have standard edge lines), Before-After analysis could not be
performed. Instead, the data were analyzed by applying the Negative
Binomial Regression models on the count of crashes of various
types. Intersection related crashes were excluded from the analysis.
Types of crashes analyzed are Total accidents, Fatal and Injury
accidents, Night crashes, Wet crashes, Wet night crashes, Accidents
involving a older driver (>=55 years old), Night crashes involving
a older driver, etc. The Negative Binomial Regression model include
Edge line width, Lane width, Access control (0=uncontrolled, 1:
partial control, 2: full control), and Log of AADT, as predictors
and the segment length as an offset variable. In all of the crash
types mentioned above, the regression coefficient of Edge line
width was negative and statistically significant, which indicates
a positive safety effect of wider edge lines (i.e., a smaller
number of crashes is associated with wider edge lines). For Wet
crashes, Night crashes, Wet night crashes, and Accidents involving
an older driver, the coefficients of Edge Line width were larger
in absolute value than that for Total accidents, which suggests
that the effects of wider edge lines are larger for those relevant
crashes. The signs of regression coefficients for other predictors
were also consistent with intuition, i.e., Lane width and Access
control have statistically significant negative coefficients and
Log of AADT have a statistically significant positive coefficient.
It needs to be noted that the information on additional delineation
and guidance measures were not available for the Illinois data,
and could not be incorporated into the analysis. Therefore, the
above observations are based on the assumption that the effects
of those additional delineation and guidance measures are the
same (or averaged out) for the sites with/without wider edge lines.
October
2007
The
research team worked with state agencies and FHWA to obtain roadway,
traffic and crash data from selected states. The following progress
was made:
- Roadway,
crash, vehicle and occupant data were obtained from Illinois
(through HSIS) for years 2000 through 2005;
- Roadway
and crash data were obtained from Michigan DOT and Michigan
State Police for years 2000 through 2006; and
- Crash
data were obtained from Kansas DOT for years 2000 through 2007.
The information
above will be combined with pavement marking information collected
from these states during previous reporting periods. A protocol
was developed to merge crash, roadway, occupant and pavement marking
information from Illinois. For example, preliminary merges of 2000
Illinois data resulted in a database than includes 140,000 crashes
on over 15,000 miles of state highway with the following pavement
marking characteristics:
- 6 inch
skip line and 4 inch edge line: 2016.94 miles (3847 observations);
- 4 inch
skip line and 5 inch edge line: 1905.44 miles (4818 observations);
and
- 4 inch
skip line and 4 inch edge line: 11803.04 miles (31837 observations).
Merging will
continue for remaining Illinois years and for Michigan and Kansas.
Both Michigan and Kansas data will result in two sets of pavement
characteristics:
- 4 inch
center line and 4 inch edge line;
- 4 inch
center line and 6 inch edge line.
September
2007
State
transportation agencies were contacted to determine the availability
of wider pavement marking data. Specifically, phone interviews
of appropriate central and division/district office personnel
were conducted to assess whether records (computerized, paper
or memory) of wider pavement marking locations and installation-schedules
existed. Discussions with transportation agencies have continued
to determine the availability of wider pavement marking data and
the ability to merge pavement marking information with crash,
roadway and traffic data. Wider pavement marking information was
compiled for Michigan, Illinois, Kansas and South Carolina. Michigan
roadway and traffic data were obtained for years 2000 through
2006. Illinois roadway, traffic and crash data were obtained for
years 2000 through 2005. Phone inquiries were made to 21 Texas
districts regarding wider pavement marking practices. The team
has confirmed that 4 TxDOT districts are using 6" wide edge
lines. We are working on gathering respective location and timing
information. Several LISTSERV requests were made to national committees
and traffic engineering-related organizations. Responses are being
investigated to identify other potential data sources.
August 2007
State
transportation agencies were contacted to determine the availability
of wider pavement marking data. Specifically, phone interviews
of appropriate central and division/district office personnel
were conducted to assess whether records (computerized, paper
or memory) of wider pavement marking locations and installation-schedules
existed. Discussions with transportation agencies from twelve
states were initiated (and in some cases concluded) in August:
1. Illinois
2. Kansas
3. Kentucky
4. Massachusetts
5. Maryland
6. Michigan
7. Florida
8. North Carolina
9. South Carolina
10. South Dakota
11. Tennessee
12. Arizona
In many cases,
striping or re-striping with wider markings is classified as a
maintenance activity. Although general timings of changes in state
pavement marking policies are known, the timings of changes on
specific roadways are not. Policy changes occurred anywhere from
15 to 30 years ago in Illinois, Kentucky, Maryland, Florida, and
Tennessee. Policy changes in Kansas and Michigan are more recent
(i.e. 2004-2005). With information gathered from phone discussions
to date, data availability and characteristics appear limited
to the following:
- Before-after
data on all state roadways in Michigan without comparison sites;
two years of "after" data available;
- With-without
data from Illinois; all roadways in one IL district with wider
lines and roadways in other districts without wider lines; the
data may be used for comparison groups and estimation of safety
performance functions for before-after analysis; and
- Limited
(i.e. several sites) of before-after data from Kansas and North
Carolina.
Project summaries
and meeting minutes from the FHWA Pooled Fund Study on Evaluations
of Low-Cost Safety Improvements reference similar challenges
regarding locations and dates of improvement installations. A
data-entry form for States to record low-cost safety installations
has been developed. The TTI project-team will contact the current
FHWA representative for the Pooled Fund Study to determine the
availability of information potentially useful to the wider lines
safety study. Discussions with state transportation agencies will
also continue.
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