In [1] we have presented the Ariadne String against Covid application, whose aim was to recommend safe outdoor path inside cities in order to limit the exposure to virus propagation during aimless outdoor leisure excursion. The main idea was to make a load balancing between streets via space-time diversity via a random walk. The application was shown to be efficient at the very first user. The present work is an extension of this previous work and can be applied after lock-down where outdoor excursions have a aim. We use drifted random walks which under the condition of uniform distribution of initial starting points and destination locations gives a perfect load balancing of the streets, thus minimizing the exposure to virus (by a factor around 3).