Effects of Pavement Surface Conditions on Traffic Crash Severity

AbstractImproving road safety through proper pavement maintenance is one of the goals of pavement management. Many studies have found that pavement conditions significantly influence traffic safety. Although several studies have explored the relationship between pavement conditions and crash occurrence, the effect of poor pavement conditions on crash severity levels has not been investigated, especially by using a discrete model that can handle ordered data. This paper focuses on the development of the relationship between poor pavement conditions and crash severity levels using a series of Bayesian ordered logistic models for low/medium/high speed roads and single/multiple collision cases. The Bayesian ordered logistic regression models indicated that the poor pavement condition decreases the severity of single-vehicle collisions on low-speed roads whereas it increases their severity on high-speed roads. On the other hand, the poor pavement condition increases the severity of multiple-vehicle crashes on ...

[1]  Fred L Mannering,et al.  A multivariate tobit analysis of highway accident-injury-severity rates. , 2012, Accident; analysis and prevention.

[2]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[3]  Mohamed Abdel-Aty,et al.  Safety evaluation of multilane arterials in Florida. , 2009, Accident; analysis and prevention.

[4]  Mohamed Abdel-Aty,et al.  A study on crashes related to visibility obstruction due to fog and smoke. , 2011, Accident; analysis and prevention.

[5]  Fred L Mannering,et al.  A note on modeling vehicle accident frequencies with random-parameters count models. , 2009, Accident; analysis and prevention.

[6]  Ralph Haas,et al.  EFFECTS OF PAVEMENT ROUGHNESS ON VEHICLE SPEEDS , 1976 .

[7]  Toshiyuki Yamamoto,et al.  Bivariate ordered-response probit model of driver's and passenger's injury severities in collisions with fixed objects. , 2004, Accident; analysis and prevention.

[8]  Simon Washington,et al.  On the nature of over-dispersion in motor vehicle crash prediction models. , 2007, Accident; analysis and prevention.

[9]  Hoong Chor Chin,et al.  An analysis of motorcycle injury and vehicle damage severity using ordered probit models. , 2002, Journal of safety research.

[10]  Hashem R Al-Masaeid.  IMPACT OF PAVEMENT CONDITION ON RURAL ROAD ACCIDENTS , 1997 .

[11]  James C Wambold.  ROAD CHARACTERISTICS AND SKID TESTING , 1988 .

[12]  C Zegeer,et al.  SAFETY RELATIONSHIPS ASSOCIATED WITH CROSS-SECTIONAL ROADWAY ELEMENTS , 1995 .

[13]  Gudrun Öberg.  FRICTION AND JOURNEY SPEED ON ROADS WITH VARIOUS WINTER ROAD MAINTENANCE , 1981 .

[14]  D. Hosmer,et al.  Applied Logistic Regression , 1991 .

[15]  Bradley P. Carlin,et al.  Bayesian measures of model complexity and fit , 2002 .

[16]  Matthew G Karlaftis,et al.  Effects of road geometry and traffic volumes on rural roadway accident rates. , 2002, Accident; analysis and prevention.

[17]  Samuel Labi,et al.  Efficacies of roadway safety improvements across functional subclasses of rural two-lane highways. , 2011, Journal of safety research.

[18]  Stephen H Richards,et al.  Investigating effects of asphalt pavement conditions on traffic accidents in Tennessee based on the pavement management system (PMS) , 2010 .

[19]  R Haas,et al.  SAFETY AND ECONOMIC BENEFITS OF PARTIALLY PAVED SHOULDERS , 1998 .

[20]  Chao Wang,et al.  Road Traffic Congestion and Crash Severity: Econometric Analysis Using Ordered Response Models , 2010 .

[21]  M Gothie.  Relationship between surface characteristics and accidents , 1996 .

[22]  J C Wambold,et al.  Texture measuring equipment vs skid testing equipment , 1990 .