  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.

Physics and Society;Robotics