基于随机流量网络中最佳可靠路径的关键链路的识别
Yi Sun1,2, Sirui Wang1, Xiang Xu1
1School of Management, Xuzhou Medical University, Xuzhou, Jiangsu, China.
PloS one
|April 9, 2024
概括
确定城市交通网络中的关键环节是保持连接性的关键. 这项研究提出了一个新的模型,考虑旅行时间可靠性和链接相关性,以精确确定重要的道路段,提高网络弹性.
科学领域:
- 运输工程 运输工程
- 网络科学 网络科学
- 运营研究 运营研究
背景情况:
- 城市交通网络面临影响连接性的中断.
- 识别关键环节对于网络弹性和流量管理至关重要.
研究的目的:
- 提出一种新的数学优化模型,用于确定城市随机运输网络中的关键环节.
- 在关键链路识别中考虑链路相关性和需求不确定性.
- 开发一种方法,避免进行全面的网络扫描以识别关键链路.
主要方法:
- 一个基于最佳可靠路径的数学优化模型.
- 考虑链接相关性和需求不确定性.
- 一个修改后的启发式算法,使用K-最短路径算法和不等式技术.
主要成果:
- 数字实验表明,改善单个道路连接并不总是改善整体交通状况.
- 忽视旅行时间的可靠性导致在识别关键链路时出现不准确.
- 拟议的模型有效地识别关键链路,而不需要进行完整的网络扫描.
结论:
- 开发的模型提供了一种更准确的方法,用于在复杂的城市交通系统中识别关键环节.
- 旅行时间可靠性是一个重要的因素,必须包括在关键链路分析.
- 这些发现为城市规划师和交通工程师提供了宝贵的见解,旨在优化网络性能和弹性.
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