论文标题
城市运输网络和基于运输的最佳基础设施：相似性和规模经济
Urban transportation networks and optimal transport-based infrastructures: similarity and economy of scale
论文作者
论文摘要
设计和优化城市交通网络的结构是一项艰巨的任务。在这项研究中，我们提出了一种受最佳运输理论和规模经济原则启发的方法，该方法几乎没有输入信息来生成与公共交通网络相似的结构。与标准方法相反，它不假定任何初始的骨干网络基础架构，而是只使用少数原点和目标点直接从连续空间中提取它。分析了一组城市火车，电车和地铁网络，我们发现在模拟基础架构和真实基础架构之间的几个研究案例中，我们发现了相似程度的相似程度。通过调整一个参数，我们的方法可以模拟一系列不同的地铁，电车和火车网络，这些网络可以进一步用于建议在相关运输属性方面进行可能改进。我们算法的输出自然提供了两个网络之间相似性的原则定量度量，可用于自动选择相似的模拟网络。
Designing and optimizing the structure of urban transportation networks is a challenging task. In this study, we propose a method inspired by optimal transport theory and the principle of economy of scale that uses little information in input to generate structures that are similar to those of public transportation networks. Contrarily to standard approaches, it does not assume any initial backbone network infrastructure, but rather extracts this directly from a continuous space using only a few origin and destination points. Analyzing a set of urban train, tram and subway networks, we find a noteworthy degree of similarity in several of the studied cases between simulated and real infrastructures. By tuning one parameter, our method can simulate a range of different subway, tram and train networks that can be further used to suggest possible improvements in terms of relevant transportation properties. Outputs of our algorithm provide naturally a principled quantitative measure of similarity between two networks that can be used to automatize the selection of similar simulated networks.
