Bayesian Network Analysis of Flight Delays
نویسندگان
چکیده
Network transportation systems exhibit complex relationships between delays on individual transportation segments and between the factors that cause delays. Researches have shown that these delays are an inherently stochastic phenomenon that is difficult to predict with certainty, even from micro-level aircraft information. This paper describes a stochastic Bayesian Network model to analyze the relationships between: (1) delay variables, and (2) the factors that cause delays. The methodology was demonstrated on a case study analysis of two routes in the National Airspace System (NAS) Chicago O’Hare International Airport to Hartsfield-Jackson Atlanta International Airport (ORD-ATL) and LaGuardia Airport to ATL (LGA-ATL). The implications of these results are discussed. TRB 2007 Annual Meeting CD-ROM Paper revised from original submittal. Ning Xu, Kathryn B. Laskey, Chun-hung Chen, Shannon C. Williams, Lance Sherry 3
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