基于波动模态组的公共自行车复杂网络调度预警

doi:10.3969/j.issn.0255-8297.2018.04.014

应用科学学报 ›› 2018, Vol. 36 ›› Issue (4): 711-722.doi: 10.3969/j.issn.0255-8297.2018.04.014

• 控制与系统 • 上一篇

基于波动模态组的公共自行车复杂网络调度预警

彭雅丽, 曾欣怡, 吕铃, 杨雨鑫, 尹红

江西师范大学软件学院, 南昌 330022

收稿日期:2017-08-05 修回日期:2017-10-06 出版日期:2018-07-31 发布日期:2018-07-31
通信作者: 彭雅丽,副教授,研究方向:复杂网络、智能交通,E-mail:29917263@qq.com E-mail:29917263@qq.com
基金资助:
国家自然科学基金（No.71661015）；江西省教育厅科学技术研究项目基金（No.GJJ160330）；江西省软科学研究重点课题基金（No.20161BBA10015）资助

Prediction of Public Cycling Complex Network Scheduling Based on Wave Motion Modes

PENG Ya-li, ZENG Xin-yi, LÜ Ling, YANG Yu-xin, YIN Hong

College of Software, Jiangxi Normal University, Nanchang 330022, China

Received:2017-08-05 Revised:2017-10-06 Online:2018-07-31 Published:2018-07-31

摘要/Abstract

摘要： 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.

关键词: 动态调度, 复杂网络, 时间序列, 存量波动

Abstract: 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.

Key words: time series, dynamic scheduling, complex network, stock fluctuation

中图分类号:

U491.17

彭雅丽, 曾欣怡, 吕铃, 杨雨鑫, 尹红. 基于波动模态组的公共自行车复杂网络调度预警[J]. 应用科学学报, 2018, 36(4): 711-722.

PENG Ya-li, ZENG Xin-yi, LÜ Ling, YANG Yu-xin, YIN Hong. Prediction of Public Cycling Complex Network Scheduling Based on Wave Motion Modes[J]. Journal of Applied Sciences, 2018, 36(4): 711-722.

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基于波动模态组的公共自行车复杂网络调度预警

Prediction of Public Cycling Complex Network Scheduling Based on Wave Motion Modes

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