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Stochastic particle--based models are useful tools for describing thecollective movement of large crowds of pedestrians in crowded confinedenvironments. Using descriptions based on the simple exclusion process, twopopulations of particles, mimicking pedestrians walking in a built environment,enter a room from two opposite sides. One population is passive -- beingunaware of the local environment; particles belonging to this group perform asymmetric random walk. The other population has information on the localgeometry in the sense that as soon as particles enter a visibility zone, adrift activates them. Their self-propulsion leads them towards the exit. Thissecond type of species is referred here as active. The assumed crowdednesscorresponds to a near--jammed scenario. The main question we ask in this paperis: Can we induce modifications of the dynamics of the active particles toimprove the outgoing current of the passive particles? To address thisquestion, we compute occupation number profiles and currents for bothpopulations in selected parameter ranges. Besides observing the more classicalfaster--is--slower effect, new features appear as prominent like thenon--monotonicity of currents, self--induced phase separation within the activepopulation, as well as acceleration of passive particles for large--driftregimes of active particles.

When diffusion faces drift: consequences of exclusion processes for bi--directional pedestrian flows