基于社区检测的高速公路运输网络空间布局平衡的分析方法
Yuanyuan Zhang1,2, Weidong Song1, Jinguang Sun3
1School of Geomatics, Liaoning Technical University, Fuxin 123000, China.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
本研究介绍了C-Louvain算法,用于评估高速公路网络平衡,提高运输效率. 该方法确定了空间不平衡,以实现公平的交通资源分配和改善道路网络规划.
科学领域:
- 运输网络分析 运输网络分析
- 图形理论 图形理论
- 数据挖掘 数据挖掘
背景情况:
- 优化公路运输网络对于效率和可持续性至关重要.
- 交通资源的公平分配需要强有力的评估方法.
- 现有的社区检测算法在没有连接的网络中面临挑战.
研究的目的:
- 开发一个框架,用社区结构来评估高速公路网络中的空间布局平衡.
- 引入和验证C-Louvain算法,以改善交通网络中的社区检测.
- 量化评估网络空间布局的不平衡,并为投资决策提供信息.
主要方法:
- 基于空间节点的网络的构建.
- 应用C-Louvain算法用于社区结构检测.
- 通过深度搜索和吉尼系数来确定关键社区供需平衡分析.
主要成果:
- 与FN,Leiden和Louvain算法相比,C-Louvain算法显示出更高的准确性,稳定性和效率.
- 在不同连接组件的网络结构中发现了显著的异质性.
- 该方法有效地确定了沈阳地区高速公路网络中的不平衡区域.
结论:
- 在复杂的,不连接的网络中,C-Louvain算法为社区检测提供了最佳的解决方案.
- 该研究提供了一种定量方法,用于评估高速公路网络空间布局平衡.
- 调查结果支持基于证据的投资决策,用于道路网络开发和交通资源管理.
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