Random walks of intermittently self-propelled particles

Motivated by various recent experimental findings, we propose a dynamical model of intermittently selfpropelled particles: active particles that recurrently switch between two modes of motion, namely an active run state and a turn state, in which self-propulsion is absent. The durations of these motility modes are drawn from arbitrary waiting-time distributions. We derive the expressions for exact forms of transport characteristics like mean-square displacements and diffusion coefficients to describe such processes. Furthermore, the conditions for the emergence of sub- and superdiffusion in the long-time limit are presented. We give examples of some important processes that occur as limiting cases of our system, including run-and-tumble motion of bacteria, L & eacute;vy walks, hop-and-trap dynamics, intermittent diffusion and continuous-time random walks.