PURSUIT AND INTERCEPTION IN A TRAFFIC FLOW: SIMULATION MODELING

Automated vehicles development in Smart City can cause traffic security problems. For example, automated vehicles control can be taken over or lost due to malfunction of subsystems. In this case the main task is to intercept the deviant vehicle and remove it from the traffic flow. There are different ways to solve this task - both in terms of infrastructure of Smart City and its agents. This paper proposes interception in the interceptor-agent's level. These agents are participants of the traffic flow which task is to intercept the targeted vehicle. The traffic system is based on a modified version of elementary cellular automaton. It's assumed that interceptor-agent can move faster than the other agents. In this paper we considered a closed circular multi-lane road segment model. Special rules of behavior on the road have been developed for interceptor-agents. This behavior strategy of the agents shows that they can successfully intercept deviant vehicles.