Correlations and their Dynamics in Freeway Networks

高速公路网络中的相关性及其动态

• 批准号: 418382724
• 负责人: Professor Dr. Karl Thomas Guhr
• 金额: --
• 依托单位: Lehrstuhl Physik von Transport und Verkehr
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/418382724?language=en
• 关键词: Correlations; their; Dynamics; Freeway; Networks

Traffic problems become ever more urgent, as we regularly realize when listening to the traffic news on the radio. In the last years with more and more data becoming available, new opportunities have opened up, making traffic an object for big data research. What happens on individual streets/roads is well understood. Much less is known about the mutual influences of the connected streets/roads, particularly how traffic jams or other disturbances spread out in the network. To investigate that, we will apply modern methods from statistical physics of complex systems which were developed and tested in other fields, especially in research on financial markets. Concrete objective is to better understand the functionality of the freeway network in North Rhine Westphalia.

正如我们在收听广播中的交通新闻时经常意识到的那样，交通问题变得更加紧迫。在过去的几年里，随着越来越多的数据变得可用，新的机会已经打开，使交通成为大数据研究的对象。在个别街道/道路上发生的事情是很清楚的。人们对相互连接的街道/道路的相互影响知之甚少，特别是交通堵塞或其他干扰如何在网络中传播。为了研究这一点，我们将应用在其他领域，特别是在金融市场研究中开发和测试的复杂系统统计物理学的现代方法。具体目标是更好地了解北莱茵河-威斯特伐利亚高速公路网的功能。