文献类型：期刊文献

英文题名：Key Nodes Identification in Urban Traffic Networks via a Domirank Centrality Approach

作者：Zhou, Mengting[1]; Zhou, Zhao[1]; Liang, Haili[2]; Liu, Hualing[1]; Zhang, Yubo[1]

机构：[1] East China University of Science and Technology, Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, Shanghai, 200237, China; [2] School of Mechatronic Engineering and Automation, Shanghai University, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, 200444, China

年份：2025

起止页码：6535

外文期刊名：Chinese Control Conference, CCC

收录：EI(收录号：20254419433528)

语种：英文

外文关键词：Circuit theory - Control theory - Highway traffic control - Intersections - Motor transportation - Street traffic control - Topology - Traffic congestion

摘要：Rapid urbanization has exacerbated traffic congestion, presenting significant challenges to the resilience of urban traffic networks. According to complex network theory, network resilience is intrinsically linked to the strength and distribution of connections between nodes. In this context, accurately assessing node importance is essential for understanding and enhancing network resilience. This study evaluates the centrality of intersections in urban road networks using the Domirank centrality metric. The urban traffic network is modeled as a weighted topological graph, with weights assigned based on road segment length, traffic flow, and average speed to reflect each segment's capacity to accommodate demand. Domirank centrality is then applied to identify critical intersections and assess their contribution to overall network resilience. Results show that this method effectively highlights key nodes that significantly impact traffic network performance. ? 2025 Technical Committee on Control Theory, Chinese Association of Automation.