Optimizing traffic lights in a cellular automaton model for city traffic
Optimizing traffic lights in a cellular automaton model for city traffic
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DOI：
10.1103/physreve.64.056132
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发表时间：
2001-11-01
影响因子：
2.4
通讯作者：
Schreckenberg, M
中科院分区：
文献类型：
--
作者：
Brockfeld, E;Barlovic, R;Schreckenberg, M
我们研究了全球交通灯控制策略的影响，在最近提出的元胞自动机模型，在城市网络中的车辆交通。该模型结合了城市交通的Biham-Middleton-Levine模型和公路交通的Nagel-Schreckenberg模型的基本思想。城市网络具有简单的正方形网格几何结构。所有街道和十字路口都受到平等对待，即，没有占主导地位的街道。从一个简单的同步策略，我们表明，网络的容量强烈依赖于交通灯的周期时间。此外，我们指出，最佳的时间周期是由网络的几何特征。即，交叉点之间的距离。在同步交通灯的情况下。网络中最佳循环时间的推导可以简化为一个更简单的问题，即具有作为瓶颈的一个交通灯的单个街道的流量优化。为了在模型中获得增强的吞吐量，测试改进的全局策略，例如，绿色波和随机切换策略，这导致了令人惊讶的结果。
We study the impact of global traffic light control strategies in a recently proposed cellular automaton model for vehicular traffic in city networks. The model combines basic ideas of the Biham-Middleton-Levine model for city traffic and the Nagel-Schreckenberg model for highway traffic. The city network has a simple square lattice geometry. All streets and intersections are treated equally, i.e., there are no dominant streets. Starting from a simple synchronized strategy, we show that the capacity of the network strongly depends on the cycle times of the traffic lights. Moreover, we point out that the optimal time periods are determined by the geometric characteristics of the network. i.e.. the distance between the intersections. In the case of synchronized traffic lights. the derivation of the optimal cycle times in the network can be reduced to a simpler problem, the flow optimization of a single street with one traffic light operating as a bottleneck. In order to obtain an enhanced throughput in the model, improved global strategies are tested, e.g., green wave and random switching strategies, which lead to surprising results.