论文标题
大规模城市网络的分布式交通管制
Distributed traffic control for a large-scale urban network
论文作者
论文摘要
由于智能交通管制系统已成为应对城市地区交通拥堵风险的不可避免的需求，这一事实是为了应对城市交通网络的分布式控制策略。由于这些网络包含大量有不同方向的道路，因此每个道路都可以描述为多代理系统。因此，需要在流量之间进行协调来优化整个网络的运行。为了确定控制决策，我们将改善交通状况的目的描述为在下游流量方面的约束优化问题。通过应用矩阵对的梯度投影方法和最小多项式，我们提出了算法，允许每个道路电池在仅使用其本地信息时确定其对应于最佳解决方案的控制决策。我们提出的算法的有效性通过数值模拟验证。
Motivated by the fact that intelligent traffic control systems have become inevitable demand to cope with the risk of traffic congestion in urban areas, this paper develops a distributed control strategy for urban traffic networks. Since these networks contain a large number of roads having different directions, each of them can be described as a multi-agent system. Thus, a coordination among traffic flows is required to optimize the operation of the overall network. In order to determine control decisions, we describe the objective of improving traffic conditions as a constrained optimization problem with respect to downstream traffic flows. By applying the gradient projection method and the minimal polynomial of a matrix pair, we propose algorithms that allow each road cell to determine its control decision corresponding to the optimal solution while using only its local information. The effectiveness of our proposed algorithms is validated by numerical simulations.
