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This summary is machine-generated.

This study addresses missing traffic data from automatic traffic recorders (ATRs). The missForest imputation method effectively filled gaps, improving the accuracy of average annual daily traffic (AADT) calculations.

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Area of Science:

  • Transportation Engineering
  • Data Science
  • Traffic Management

Background:

  • Accurate traffic volume data is crucial for transportation planning and infrastructure design.
  • Automatic Traffic Recorders (ATRs) are essential for collecting hourly traffic data but are prone to malfunctions causing data loss.
  • Missing or unreliable traffic data impacts the accuracy of critical metrics like Average Annual Daily Traffic (AADT) and Design Hourly Volume (DHV).

Purpose of the Study:

  • To evaluate various data imputation methods for addressing missing or invalid data from ATRs.
  • To identify the most effective imputation technique for restoring complete and accurate traffic datasets.
  • To assess the impact of data imputation on the calculation of AADT and the overall quality of traffic volume analysis.

Main Methods:

  • Screening of Automatic Traffic Recorder (ATR) data from New South Wales, Australia, for irregularities.
  • Random selection of 25% of reliable data for testing thirteen different imputation methods.
  • Analysis of two data omission scenarios (25% and 100%) to simulate missing data.
  • Application of the best-performing imputation method (missForest) to complete the dataset.

Main Results:

  • The missForest imputation method demonstrated superior performance compared to twelve other techniques.
  • Imputed data resulted in slightly higher Average Annual Daily Traffic (AADT) values compared to original counts.
  • Visual analysis of average daily volumes confirmed the quality of imputed data, showing a better fit with annual trends.

Conclusions:

  • The missForest algorithm is a reliable method for imputing missing traffic data collected by ATRs.
  • Data imputation using missForest enhances the accuracy of AADT calculations and traffic volume analysis.
  • This approach ensures the integrity of traffic data, supporting more robust transportation planning and engineering decisions.