论文标题
抵抗车辆对智能城市运输系统特征的影响
Impact of counteracting vehicles on the characteristics of a smart city transport system
论文作者
论文摘要
包括自动驾驶汽车在内的智能城市运输系统的开发导致敌对干扰在车辆控制过程中的威胁增加。这种干扰可能会破坏运输系统的正常功能，如果秘密执行，则可能会在很长一段时间内对系统产生负面影响。本文根据Sakai-Nishinari-Fukui-Schadschneider（S-NFS）规则开发了圆形两车道道路上的交通型随机蜂窝自动机模型。在介绍的型号中，除了普通车辆外，还有秘密抵消车辆。他们的任务是使用特殊的行为规则来减少运输系统的数量指标（例如交通通量）。考虑并比较了三个这样的规则：两个改变车道规则和一项缓慢的规则。结果表明，这种抵消车辆可能会影响交通流量，主要是在基本图的最大值的区域，即车辆密度的平均值。在自由流动的交通或交通拥堵中，无论其行为规则如何，应对车辆的影响都可以忽略不计。
The development of smart city transport systems, including self-driving cars, leads to an increase in the threat of hostile interference in the processes of vehicle control. This interference may disrupt the normal functioning of the transport system, and, if is performed covertly, the system can be negatively affected for a long period of time. This paper develops a simulation stochastic cellular automata model of traffic on a circular two-lane road based on the Sakai-Nishinari-Fukui-Schadschneider (S-NFS) rules. In the presented model, in addition to ordinary vehicles, there are covertly counteracting vehicles; their task is to reduce the quantity indicators (such as traffic flux) of the transport system using special rules of behavior. Three such rules are considered and compared: two lane-changing rules and one slow-down rule. It is shown that such counteracting vehicles can affect the traffic flow, mainly in the region of the maximum of the fundamental diagram, that is, at average values of the vehicle density. In free-flowing traffic or in a traffic jam, the influence of the counteracting vehicle is negligible regardless of its rules of behavior.
