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Hotspots on ECR

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Syed Nazir Razik ACP, CSM, PMP
Syed Nazir Razik ACP, CSM, PMP

This document discusses identifying accident hotspots through geocoding count data and severity ratings, then analyzing common factors like time, road conditions, and vehicle types at hotspots like pedestrian areas, intersections, and school zones to improve safety. Cluster analysis is used to group and evaluate hotspots.

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Hotspots Identification and Cluster Analysis Geocode accident hotspots Count data on each hotspot Severity rating based on accident Pedestrian accident hotspot Illicit late night crossing DUI Cases Evaluate School Zones Evaluate hotspot Intersections
Analysis of common factors Day of the week Time of the Accident Road Condition Weather Condition Lighting / Visibility Type of Vehicles Glare of Oncoming traffic Attribute data collection

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Hotspots on ECR

  • 1.  
  • 2. Hotspots Identification and Cluster Analysis Geocode accident hotspots Count data on each hotspot Severity rating based on accident Pedestrian accident hotspot Illicit late night crossing DUI Cases Evaluate School Zones Evaluate hotspot Intersections
  • 3. Analysis of common factors Day of the week Time of the Accident Road Condition Weather Condition Lighting / Visibility Type of Vehicles Glare of Oncoming traffic Attribute data collection