  The inherent support of sixth-generation (6G) systems enabling integrated
sensing and communications (ISAC) paradigm greatly enhances the application
area of intelligent transportation systems (ITS). One of the mission-critical
applications enabled by these systems is disaster management, where ISAC
functionality may not only provide localization but also provide users with
supplementary information such as escape routes, time to rescue, etc. In this
paper, by considering a large area with several locations of interest, we
formulate and solve the optimization problem of delivering task parameters of
the ISAC system by optimizing the UAV speed and the order of visits to the
locations of interest such that the mission time is minimized. The formulated
problem is a mixed integer non-linear program which is quite challenging to
solve. To reduce the complexity of the solution algorithms, we propose two
circular trajectory designs. The first algorithm finds the optimal UAV velocity
and radius of the circular trajectories. The second algorithm finds the optimal
connecting points for joining the individual circular trajectories. Our
numerical results reveal that, with practical simulation parameters, the first
algorithm provides a time saving of at least $20\%$, while the second algorithm
cuts down the total completion time by at least $7$ times.
