Xu Zhang, Bingzhi Chen, and Chaozhe Jiang
Cellular automation, competitive pricing, swarm evolution, hierarchical particle swarm
China has seen constant improvement and expansion in the high- speed railway network and the civil aviation transportation network due to the persistent contribution towards the construction of the transportation infrastructure. However, transportation products by high-speed railway and civil aviation are replaceable. This makes the two transport modes fall into fierce competition. Therefore, it is significantly essential to examine the gaming rivalry in passenger transport by high-speed railway and civil aviation. It is also necessary to formulate proper competition strategies to increase transportation revenues, optimize resources, and promote the orderly competition between the two. By studying both China’s and international cases, this paper provides the competitive pricing nested bi-level programming model for high-speed railway and civil aviation passenger transport on the basis of the principles of profit maximization and generalized cost minimization. The Cellular Automaton is utilized as part of the adjusted passenger flow. In addition, the hierarchical particle swarm optimization is utilized for modelling the solution. The balanced competitive pricing for high- speed rail and civil aviation is acquired by the sample calculation. Moreover, to verify the precision of the model developed in this paper, the comparative analysis is done on the basis of swarm evolution and change in passenger flow by logit separation.
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