为解决公共自行车网点何时调度的问题，提出了一个可行而高效的解决方案.选择某市公共自行车数据管理中心公共自行车的使用记录，借助统计物理学的方法进行研究.紧密跟踪边界值的波动变化并用模态化方法建立存量波动变化模态组，构建了多时序组合波动模态组复杂网络.运用复杂网络方法分析该波动模态组的变动情况、变化规律以及影响因素.研究结果表明，运用存量波动复杂网络模型能为动态调度提供有效指导，并为同类问题提供新的借鉴思路.
In order to schedule optimized dispatching for public bicycle network nodes, a feasible and efficient solution is proposed. In this paper, the usage records of public bicycles in a public city bicycle data management center are selected and studied by means of statistical physics. We firstly establish a wave mode group of stock fluctuation variation by closely tracking the fluctuation of boundary value, and construct a complex network of multi-time series combined the established wave mode group. Then the fluctuation, variation rule and influencing factors of the fluctuation mode group are analyzed by using complex network method. The analytical results show that the proposed inventory fluctuation complex network model provides effective guidance for real-time dynamic scheduling, and can provide helpful solutions for similar problems.
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