  It is well known that a binary system of non-active disks that experience
driving in opposite directions exhibits jammed, phase separated, disordered,
and laning states. In active matter systems, such as a crowd of pedestrians,
driving in opposite directions is common and relevant, especially in conditions
which are characterized by high pedestrian density and emergency. In such
cases, the transition from laning to disordered states may be associated with
the onset of a panic state. We simulate a laning system containing active disks
that obey run-and-tumble dynamics, and we measure the drift mobility and
structure as a function of run length, disk density, and drift force. The
activity of each disk can be quantified based on the correlation timescale of
the velocity vector. We find that in some cases, increasing the activity can
increase the system mobility by breaking up jammed configurations; however, an
activity level that is too high can reduce the mobility by increasing the
probability of disk-disk collisions. In the laning state, the increase of
activity induces a sharp transition to a disordered strongly fluctuating state
with reduced mobility. We identify a novel drive-induced clustered laning state
that remains stable even at densities below the activity-induced clustering
transition of the undriven system.
