A national-level safety analysis tool is needed to complement existing analytical tools for assessment of the safety impacts of roadway design alternatives. FHWA has sponsored the development of the Interactive Highway Safety Design Model (IHSDM), which is roadway design and redesign software that estimates the safety effects of alternative designs. Considering the importance of IHSDM in shaping the future of safety-related transportation investment decisions, FHWA justifiably sponsored research with the sole intent of independently validating some of the statistical models and algorithms in IHSDM. Statistical model validation aims to accomplish many important tasks, including (a) assessment of the logical defensibility of proposed models, (b) assessment of the transferability of models over future time periods and across different geographic locations, and (c) identification of areas in which future model improvements should be made. These three activities are reported for five proposed types of rural intersection crash prediction models. The internal validation of the model revealed that the crash models potentially suffer from omitted variables that affect safety, site selection and countermeasure selection bias, poorly measured and surrogate variables, and misspecification of model functional forms. The external validation indicated the inability of models to perform on par with model estimation performance. Recommendations for improving the state of the practice from this research include the systematic conduct of carefully designed before-and-after studies, improvements in data standardization and collection practices, and the development of analytical methods to combine the results of before-and-after studies with cross-sectional studies in a meaningful and useful way.
[1]
Ezra Hauer,et al.
On exposure and accident rate
,
1995
.
[2]
서정헌,et al.
반도체 공정 overview
,
2001
.
[3]
V. Barnett,et al.
Applied Linear Statistical Models
,
1975
.
[4]
Elazar J. Pedhazur,et al.
Measurement, Design, and Analysis: An Integrated Approach
,
1994
.
[5]
J. Neter,et al.
Applied Linear Statistical Models (3rd ed.).
,
1992
.
[6]
G. M. Davis.
The Department of Transportation
,
1970
.
[7]
R. H. Myers.
Classical and modern regression with applications
,
1986
.
[8]
Ezra Hauer,et al.
Observational Before-After Studies in Road Safety
,
1997
.
[9]
A. Vogt.
CRASH MODELS FOR RURAL INTERSECTIONS: FOUR-LANE BY TWO-LANE STOP-CONTROLLED AND TWO-LANE BY TWO-LANE SIGNALIZED
,
1999
.
[10]
Ezra Hauer,et al.
PREDICTION OF THE EXPECTED SAFETY PERFORMANCE OF RURAL TWO-LANE HIGHWAYS
,
2000
.