作者
Sangho Kim, Shashi Shekhar, Manki Min
发表日期
2008/8
期刊
IEEE Transactions on Knowledge and Data Engineering
卷号
20
期号
8
页码范围
1115-1129
出版商
IEEE
简介
Given a transportation network having source nodes with evacuees and destination nodes, we want to find a contraflow network configuration, i.e., ideal direction for each edge, to minimize evacuation time. Contraflow is considered a potential remedy to reduce congestion during evacuations in the context of homeland security and natural disasters (e.g., hurricanes). This problem is computationally challenging because of the very large search space and the expensive calculation of evacuation time on a given network. To our knowledge, this paper presents the first macroscopic approaches for the solution of contraflow network reconfiguration incorporating road capacity constraints, multiple sources, congestion factor, and scalability. We formally define the contraflow problem based on graph theory and provide a framework of computational workload to classify our approaches. A greedy heuristic is designed to …
引用总数
20072008200920102011201220132014201520162017201820192020202120222023202412512112012282423282134291821114
学术搜索中的文章