Airport Congestion Propagation Model for Temporal Airline Network of China

In this paper, given the initial congested airport vs and the time intervals T of congestion, we propose an efficient traffic flows re-allocate algorithm for a congested airport on temporal airline networks G
_AN
^t
, t = 1 .. . T, such that the status of other airports caused by an initial congested airport in different time intervals TI
_t
, t = 1 . . . T, can be analyzed at the macroscopic level. In the proposed model, considering the allocation results of traffic flows on G
_AN
^t-1
of the previous time intervals TI
_t-1
, the traffic flows re-allocate algorithm for congested airport on G
_AN
^t
, t = 1 .. . T, would be sequentially performed to analyze the propagation results. Experimental results show that the proposed model can reduce 21.2% of the total congested airports propagated by an initial congested airport when compared with the Rate-based model.