Investigation of Safety Influence Area for Four-Legged Signalized Intersections

It is common in crash data recording and safety studies to designate crashes that occurred within a default radius from intersections as having occurred at or been influenced by intersections. The purpose of this study is to investigate thoroughly how intersection attributes affect this safety influence area and how the varied safety influence areas for intersection approaches improve safety analysis. First, a nationwide survey was conducted to review how police officers, crash records technicians, and state safety engineers identify intersection crashes. Data for a sample of 177 four-legged signalized intersections were collected from the state of Florida. On the basis of crash data and the approach features, the intersection's inside area (from the center to the stop bar, used to designate at-intersection crashes) and the safety influence area (measured upstream from the stop bar, used to designate intersection-related crashes) were explored by using classification trees. The research concluded that it is better to define at-intersection and intersection-related safety influence areas for each approach separately, and then to determine intersection influence area and size on the basis of approach features. Among the selected intersections, around 30% of the approaches had at least one intersection-related crash occurring beyond the physical boundary (left-turn lane), and these cases were examined. Test statistics showed that intersection-related crashes defined by a 250-ft boundary (the default used in many states) versus those defined by varied boundaries are significantly different. The approach-level intersection-related crashes were fitted by using the generalized estimating equations with a negative binomial. The significant factors identified were different for the models that used the fixed and the varied boundaries, and the model with varied influence areas had a better performance.

[1]  Simon Washington,et al.  Important omitted spatial variables in safety models: Understanding contributing crash causes at intersections , 2007 .

[2]  W. Cottrell,et al.  Utah Intersection Safety: Recurrent Crash Sites: Identification, Issues and Factors , 2005 .

[3]  Craig Lyon,et al.  Safety Comparison of New Jersey Jug Handle Intersections and Conventional Intersections , 2006 .

[4]  Mohamed Abdel-Aty,et al.  Crash Estimation at Signalized Intersections Along Corridors: Analyzing Spatial Effect and Identifying Significant Factors , 2006 .

[5]  Lidia P. Kostyniuk,et al.  MODELING INTERSECTION CRASH COUNTS AND TRAFFIC VOLUME , 1997 .

[6]  Fred L. Mannering,et al.  Negative binomial analysis of intersection accident frequencies , 1996 .

[7]  Mohamed Abdel-Aty,et al.  Temporal and spatial analyses of rear-end crashes at signalized intersections. , 2006, Accident; analysis and prevention.

[8]  Edward C. Chao,et al.  Generalized Estimating Equations , 2003, Technometrics.

[9]  Lily Elefteriadou,et al.  Safety Effectiveness of Intersection Left- and Right-Turn Lanes , 2003 .

[10]  Z. Ying,et al.  Model‐Checking Techniques Based on Cumulative Residuals , 2002, Biometrics.

[11]  Craig Lyon,et al.  Safety Performance Functions for Signalized Intersections in Large Urban Areas: Development and Application to Evaluation of Left-Turn Priority Treatment , 2005 .

[12]  Mohamed Abdel-Aty,et al.  Right-Angle Crash Occurrence at Signalized Intersections , 2007 .

[13]  Mohamed Abdel-Aty,et al.  Modeling left-turn crash occurrence at signalized intersections by conflicting patterns. , 2008, Accident; analysis and prevention.

[14]  Xuesong Wang Safety Analyses At Signalized Intersections Considering Spatial, Temporal And Site Correlation , 2006 .

[15]  Bhagwant Persaud,et al.  Multijurisdictional Safety Evaluation of Red Light Cameras , 2005 .

[16]  A. Vogt CRASH MODELS FOR RURAL INTERSECTIONS: FOUR-LANE BY TWO-LANE STOP-CONTROLLED AND TWO-LANE BY TWO-LANE SIGNALIZED , 1999 .

[17]  Mohamed Abdel-Aty,et al.  Crash Estimation at Signalized Intersections: Significant Factors and Temporal Effect , 2006 .