High Betweeness Nodes and Crowded Intersections: An Experimental Assessment by Means of Simulation

Gabriel Baban, A. Iovanovici, Cristian Cosariu, L. Prodan
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引用次数: 2

Abstract

Abstract-We use the network betweeness metric to rank the nodes of a network and find hot spots, prone to congestion in a road network. By applying complex networks methodologies and metrics we identify a correlation between the two and validate it by using modern road traffic simulation tools. We also provide an empirical assessment based on the authors' insight while using the road infrastructure of the targeted city.
高间距节点与拥挤交叉口:仿真方法的实验评估
摘要:我们使用网络间隔度量对网络节点进行排序,并找到道路网络中容易发生拥塞的热点。通过应用复杂的网络方法和指标,我们确定两者之间的相关性,并通过使用现代道路交通模拟工具验证它。在使用目标城市的道路基础设施时,我们还提供了基于作者见解的经验评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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