• Identify common causes of traffic collisions.

• Determine high-risk locations and times for traffic accidents.

• Examine factors contributing to collisions, such as weather, traffic control, and driver/pedestrian behavior

• Use data analysis to support traffic safety measures.

• Inform policy decisions to reduce accidents and improve road safety.

• Highlight trends that may indicate potential risk factors or areas for improvement

• Collision Patterns: Most common types of collisions, e.g., rear-end, angle, or single-vehicle crashes.

• Risk Factors: Factors that increase the risk of collisions, including weather, traffic control, driver substance abuse, or distracted driving.

• High-Risk Locations: Locations with a high frequency of collisions.

• Injury Severity: Trends in the severity of injuries and factors contributing to serious or fatal injuries.

1. https://catalog.data.gov/dataset/crash-reporting-drivers-data
2. https://data.montgomerycountymd.gov/Public-Safety/Crash-Reporting-Non-Motorists-Data/n7fk-dce5/about_data