标题： 交通模型中的渗流性质 显示英文标题

标题： Percolation properties in a traffic model

摘要： 作为一种动态复杂系统，交通表现出从自由流到拥堵的转变，这主要在高速公路上进行研究。 然而，尽管在制定缓解拥堵策略中具有重要意义，对于城市规模下这一常见交通现象的理解仍然缺失。 一个开放性问题是，网络中的交通如何从全局高效的交通状态崩溃为小簇中的孤立局部流动，即交通渗流问题。 在这里，我们通过模拟一种基于代理的交通模型来研究晶格上的交通渗流特性。 该模型中存在一个临界交通量，用于区分交通的自由状态和拥堵状态。 我们的结果表明，交通渗流的阈值随着交通量的增加而降低，并在临界交通量时达到最小值。 我们证明，这个最小阈值是临界交通量下交通流之间最长空间相关性的结果。 这些发现可能有助于从网络视角开发缓解拥堵的策略。 显示英文摘要

摘要： As a dynamical complex system, traffic is characterized by a transition from free flow to congestions, which is mostly studied in highways. However, despite its importance in developing congestion mitigation strategies, the understanding of this common traffic phenomenon in a city-scale is still missing. An open question is how the traffic in the network collapses from a global efficient traffic to isolated local flows in small clusters, i.e. the question of traffic percolation. Here we study the traffic percolation properties on a lattice by simulation of an agent-based model for traffic. A critical traffic volume in this model distinguishes the free-state from congested state of traffic. Our results show that the threshold of traffic percolation decreases with increasing traffic volume and reaches a minimum value at the critical traffic volume. We show that this minimal threshold is the result of longest spatial correlation between traffic flows at the critical traffic volume. These findings may help to develop congestion mitigation strategies in a network view.