Cellular Automata Simulation of Heterogeneous Freeway Traffic Flow in a Smart City

The paper proposes a simple simulation model of a heterogeneous transport system consisting of human-driven and automated vehicles. The time evolution of the system is based on a modified version of Wolfram's rule 184 for an elementary cellular automaton. Different rules for each type of pair of following vehicles are proposed (car-following modes). It is taken into account that a group of sequentially moving connected automated vehicles can form a platoon, which moves with a given velocity. The influence of the ratio of the types of vehicles (human-driven and automated) in the system on the characteristics of the traffic flow has been studied. It is shown that such a simplified model can qualitatively correctly describe the main features of a heterogeneous traffic flow.