The top 200 locations where reported collisions occurred at intersections have been identified. The crash cluster analysis methodology for the top intersection clusters uses a fixed meter search distance of 25 meters (82 ft.) to merge crash clusters together. This analysis was based on crashes where a police officer specified one of the following junction types: Four way intersection, T-intersection, Y-intersection, five point or more. Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. EPDO is based any type of injury crash (including fatal, incapacitating, non-incapacitating and possible) having a weighting of 21 compared to a property damage only crash (which has weighting of 1). The clusters were reviewed in descending EPDO order until 200 locations were obtained. The clustering analysis used crashes from the three year period from 2017-2019. The area encompassing the crash cluster may cover a larger area than just the intersection so it is critical to view these spatially.

The top 200 locations where reported collisions occurred at intersections have been identified. The crash cluster analysis methodology for the top intersection clusters uses a fixed meter search distance of 25 meters (82 ft.) to merge crash clusters together. This analysis was based on crashes where a police officer specified one of the following junction types: Four way intersection, T-intersection, Y-intersection, five point or more. Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. EPDO is based any type of injury crash (including fatal, incapacitating, non-incapacitating and possible) having a weighting of 21 compared to a property damage only crash (which has weighting of 1). The clusters were reviewed in descending EPDO order until 200 locations were obtained. The clustering analysis used crashes from the three year period from 2017-2019. The area encompassing the crash cluster may cover a larger area than just the intersection so it is critical to view these spatially.

The top 200 locations where reported collisions occurred at intersections have been identified. The crash cluster analysis methodology for the top intersection clusters uses a fixed meter search distance of 25 meters (82 ft.) to merge crash clusters together. This analysis was based on crashes where a police officer specified one of the following junction types: Four way intersection, T-intersection, Y-intersection, five point or more. Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. EPDO is based any type of injury crash (including fatal, incapacitating, non-incapacitating and possible) having a weighting of 21 compared to a property damage only crash (which has weighting of 1). The clusters were reviewed in descending EPDO order until 200 locations were obtained. The clustering analysis used crashes from the three year period from 2016-2018. The area encompassing the crash cluster may cover a larger area than just the intersection so it is critical to view these spatially.

2015 - 2017 Top 200 Intersection Crash Cluster Locations.The top 200 locations where reported collisions occurred at intersections have been identified. The crash cluster analysis methodology for the top intersection clusters uses a fixed meter search distance of 25 meters (82 ft.) to merge crash clusters together. This analysis was based on crashes where a police officer specified one of the following junction types: Four way intersection, T-intersection, Y-intersection, five point or more. Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. EPDO is based any type of injury crash (including fatal, incapacitating, non-incapacitating and possible) having a weighting of 21 compared to a property damage only crash (which has weighting of 1). The clusters were reviewed in descending EPDO order until 200 locations were obtained. The clustering analysis used crashes from the three year period from 2015-2017. The area encompassing the crash cluster may cover a larger area than just the intersection so it is critical to view these spatially.

The top 200 locations where reported collisions occurred at intersections have been identified. The crash cluster analysis methodology for the top intersection clusters uses a fixed meter search distance of 25 meters (82 ft.) to merge crash clusters together. This analysis was based on crashes where a police officer specified one of the following junction types: Four way intersection, T-intersection, Y-intersection, five point or more. Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. EPDO is based any type of injury crash (including fatal, incapacitating, non-incapacitating and possible) having a weighting of 21 compared to a property damage only crash (which has weighting of 1). The clusters were reviewed in descending EPDO order until 200 locations were obtained. The clustering analysis used crashes from the three year period from 2014-2016. The area encompassing the crash cluster may cover a larger area than just the intersection so it is critical to view these spatially.

2013 - 2015 Top 200 Intersection Crash Cluster Locations.The top locations where reported collisions occurred have been identified. The crash cluster analysis methodology for the crashes uses a fixed meter search distance of 25 meters (82 ft.) to merge crash clusters together. The analysis method finds nearby crashes and merges their areas together, thus creating clusters. If two distinct clusters are found to share a common crash, the two clusters are merged into a single cluster. This method of search-and-merge results in a set of many distinct clusters of different sizes and shapes Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. Additionally, due to the large geographic area encompassed by the crash clusters, it was difficult to name them so they were left unnamed but can be viewed spatially. A review of each location was required to make that determination of the top at grade intersection clusters. Generally, a location was determined to be an “intersection” if the cluster did not contain roadways with grade separation (interchange) nor weaving sections (rotaries or ramps). Intersections located at the ends of off-ramps or traffic circles/rotaries were generally not included. The clusters were reviewed in descending EPDO order until 200 locations were obtained.

2014 - 2016 Top 200 Intersection Crash Cluster Locations.The top locations where reported collisions occurred have been identified. The crash cluster analysis methodology for the crashes uses a fixed meter search distance of 25 meters (82 ft.) to merge crash clusters together. The analysis method finds nearby crashes and merges their areas together, thus creating clusters. If two distinct clusters are found to share a common crash, the two clusters are merged into a single cluster. This method of search-and-merge results in a set of many distinct clusters of different sizes and shapes Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. Additionally, due to the large geographic area encompassed by the crash clusters, it was difficult to name them so they were left unnamed but can be viewed spatially. A review of each location was required to make that determination of the top at grade intersection clusters. Generally, a location was determined to be an “intersection” if the cluster did not contain roadways with grade separation (interchange) nor weaving sections (rotaries or ramps). Intersections located at the ends of off-ramps or traffic circles/rotaries were generally not included. The clusters were reviewed in descending EPDO order until 200 locations were obtained.

2014 - 2016 Top 200 Intersection Crash Cluster Locations.The top locations where reported collisions occurred have been identified. The crash cluster analysis methodology for the crashes uses a fixed meter search distance of 25 meters (82 ft.) to merge crash clusters together. The analysis method finds nearby crashes and merges their areas together, thus creating clusters. If two distinct clusters are found to share a common crash, the two clusters are merged into a single cluster. This method of search-and-merge results in a set of many distinct clusters of different sizes and shapes Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. Additionally, due to the large geographic area encompassed by the crash clusters, it was difficult to name them so they were left unnamed but can be viewed spatially. A review of each location was required to make that determination of the top at grade intersection clusters. Generally, a location was determined to be an “intersection” if the cluster did not contain roadways with grade separation (interchange) nor weaving sections (rotaries or ramps). Intersections located at the ends of off-ramps or traffic circles/rotaries were generally not included. The clusters were reviewed in descending EPDO order until 200 locations were obtained.