  The VIPAFLEET project consists in developing models and algorithms for man-
aging a fleet of Individual Public Autonomous Vehicles (VIPA). Hereby, we
consider a fleet of cars distributed at specified stations in an industrial
area to supply internal transportation, where the cars can be used in different
modes of circulation (tram mode, elevator mode, taxi mode). One goal is to
develop and implement suitable algorithms for each mode in order to satisfy all
the requests under an economic point of view by minimizing the total tour
length or the makespan. The innovative idea and challenge of the project is to
develop and install a dynamic fleet management system that allows the operator
to switch between the differ- ent modes within the different periods of the day
according to the dynamic transportation demands of the users. We model the
underlying online transportation system and propose an according fleet
management framework, to handle modes, demands and commands. We propose for
each mode appropriate online algorithms and evaluate their performance.
