摘要翻译：
利用随机元胞自动机，提出了一种适用于公共汽车和火车的公共交通模型。我们发现，当平均速度达到最大时，车辆的最优密度显著地依赖于停靠站的数量和乘客在停靠站上车的行为。通过比较乘客的不同行为，讨论了降雹乘车系统的效率。此外，我们还发现，通过引入连续站点之间的车辆数量信息，将一个大的车辆集群划分为小的车辆集群。
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英文标题：
《An information-based traffic control in a public conveyance system:
  reduced clustering and enhanced efficiency》
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作者：
A. Tomoeda, K. Nishinari, D. Chowdhury and A. Schadschneider
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最新提交年份：
2007
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分类信息：

一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Physics        物理学
二级分类：Statistical Mechanics        统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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英文摘要：
  A new public conveyance model applicable to buses and trains is proposed in this paper by using stochastic cellular automaton. We have found the optimal density of vehicles, at which the average velocity becomes maximum, significantly depends on the number of stops and passengers behavior of getting on a vehicle at stops. The efficiency of the hail-and-ride system is also discussed by comparing the different behavior of passengers. Moreover, we have found that a big cluster of vehicles is divided into small clusters, by incorporating information of the number of vehicles between successive stops.
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PDF链接：
https://arxiv.org/pdf/704.1555