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Abdulrahman Sultan

Data Analyst

Python Developer

AI Trainer

Abdulrahman Sultan

Data Analyst

Python Developer

AI Trainer

Road Accident Analysis

  • Created by: Abdulrahman Sultan

Dashboard Overview:

This dashboard provides a comprehensive analysis of road accident casualties categorized by severity, vehicle type, road type, area, time of occurrence, and road conditions. The data spans across 2021 and 2022 and offers insights into trends and key factors influencing road safety.

Key Features:

  1. Casualty Summary:
    • Total Casualties: 417,883.
    • Slight Casualties: 351,436 (84.1% of total).
    • Serious Casualties: 59,312 (14.2% of total).
    • Fatal Casualties: 7,135 (1.7% of total).
  2. Casualties by Vehicle Type:
    • Cars account for the highest casualties: 333,485.
    • Motorcycles and trucks each contribute over 33,000 casualties.
    • Pedestrians and bicycles are also notable contributors with 12,798 and 3,424 casualties, respectively.
  3. Trend Analysis (2021 vs 2022):
    • Monthly casualty trends reveal consistent patterns, with peaks observed during summer months.
    • A comparative line graph provides insights into yearly variations.
  4. Casualties by Road Type:
    • Single carriageways see the highest casualties (309,698), followed by dual carriageways (67,368) and roundabouts (26,828).
  5. Area and Time Analysis:
    • By Area: 61% of casualties occur in urban areas (255,864), compared to 39% in rural areas (162,019).
    • By Time: 73% of accidents occur during daylight (304,965), and 27% during darkness (112,920).
  6. Casualties by Road Surface:
    • The majority occur on dry roads (279,445), while wet roads (115,261) and snowy surfaces (22,781) also contribute significantly.

Report Insights:

  1. Accident Severity:
    • Slight injuries dominate road accident statistics, but the occurrence of 7,135 fatalities highlights the need for focused safety measures on critical routes and high-risk areas.
  2. Vehicle Trends:
    • Cars are involved in most accidents, reflecting their widespread use. Safety campaigns targeting car drivers could significantly reduce overall casualties.
  3. Road Type Risks:
    • Single carriageways contribute to over 74% of casualties. Enhanced signage, speed control measures, and road quality improvements could help mitigate risks.
  4. Geographic Patterns:
    • Urban areas account for the majority of casualties, possibly due to higher traffic density. Rural areas, however, should not be overlooked, as accidents there often result in more severe outcomes.
  5. Temporal Trends:
    • Most accidents occur during daylight, suggesting a need for awareness campaigns even during safer-looking conditions.
  6. Weather and Surface Conditions:
    • Accidents on wet and snowy surfaces call for better road maintenance and driver education during adverse weather conditions.

Recommendations:

  1. Road Safety Campaigns:
    • Focus on urban areas and car drivers, emphasizing defensive driving and adherence to traffic rules.
  2. Infrastructure Improvements:
    • Prioritize single carriageways for upgrades such as better lighting, barriers, and signage.
  3. Technology Integration:
    • Introduce speed monitoring systems and AI-driven traffic analysis tools to identify high-risk zones.
  4. Weather Preparedness:
    • Develop strategies to reduce accidents on wet and snowy roads, such as improved drainage and timely snow clearance.
  5. Data-Driven Policies:
    • Leverage year-on-year trends and area-specific data to allocate resources effectively for accident prevention.