Statistical Analysis of Air Traffic Density and Runway Incursions

Recently, aircraft accidents and runway incursions have surged due to multiple contributing factors, including increased air traffic density, human error, and operational complexities at major airports. The growing number of near-miss incidents and incursions underscores the urgent need for data-driven analysis to mitigate aviation risks. This study investigates the relationship between air traffic density and the frequency of runway incursions in Class B airspace, utilizing real-world data collected over the past year. The research specifically examines the role of human factors, such as fatigue-related incidents and miscommunication, and the impact of technological advancements, including ASDE-X and Runway Status Lights (RWSL), in mitigating risks. A one-way ANOVA test was conducted using StatCrunch to determine whether variations in air traffic density significantly affect runway incursions. The findings provide valuable insights into aviation safety and offer recommendations for improving airport operations, traffic control procedures, and technological interventions to reduce runway incursions.