Using such a data - driven approach to
predict flight delays can help airlines generate more reliable crew schedules, which in turn can reduce passenger delays.
Not exact matches
But many aviation experts
predict the overhaul will not fully address LaGuardia's notorious problem of
flight delays.
To
predict flight arrival
delays and thereby support the optimal crew pairing, the authors applied a Cascade Neural Network (CNN) approach to capture the nonlinear relationship between various factors, because
flight arrival
delays are usually influenced by multiple factors.
According to the developer, it can
predict future
flight problems over a three - to - four hour period such as identifying which
flights might be
delayed and what can be done to minimize the impact of the
delay.
They report in the journal Climatic Change that, if humans continue to burn fossil fuels at an accelerating rate, and as average global temperatures creep up by the
predicted 4 °C above historic levels, then on the hottest days, between 10 % and 30 % of fully - loaded planes may have to remove fuel, cargo or passengers before they can take off: either that, or
flights will have to be
delayed to the cooler hours.