Subway is accepted and selected by more and more people, while also facing the urgent needs to improve service quality and competitiveness. Ticket Vending Machines as an important tool to communicate with passengers, play a highlight important role. Based on behavioral characteristics of different passengers, effectively regulating the number of TVM and types of passenger queues has practical significance. Firstly, use a triple α / β / γ to describe the problem: An optimization scheduling problem regards minimizing manufacturing as the goal, with machine usage restrictions and first in first out principle. Then establish mathematical model. Secondly, using plant growth simulation algorithm designs algorithm. Finally, the case study demonstrates the algorithm's feasibility and efficiency.
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