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Determination of the Friction Coefficients of Icy Pavements Under Different Amounts of Snowfall
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Weather significantly impacts road accident risk, with correlations varying by road type and location. Analyzing weather data helps improve national road safety monitoring and understand accident patterns.

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Area of Science:

  • Road Safety
  • Environmental Science
  • Transportation Engineering

Background:

  • Road safety monitoring is crucial for national planning.
  • Previous research has explored factors influencing road accidents.
  • The SafetyNet project aimed to build a European Road Safety Observatory.

Purpose of the Study:

  • To establish the relationship between weather conditions and road accident risk.
  • To enhance national-level road safety monitoring.
  • To analyze accident data using weather variables.

Main Methods:

  • Time series analysis models were employed.
  • Quantitative weather variables were used as explanatory factors.
  • Aggregate datasets of injury accidents from France, the Netherlands, and Athens (over 20 years) were analyzed.

Main Results:

  • Significant monthly correlations were found between weather variables and injury accidents.
  • The strength and direction of correlations varied across motorways, rural, and urban roads.
  • Extreme weather effects were highlighted by analyzing daily weather variability within monthly models.

Conclusions:

  • Weather conditions are demonstrably linked to road accident frequency.
  • Road type significantly influences the impact of weather on accident risk.
  • Incorporating detailed weather data can refine road safety assessments and interventions.