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Emerging infocommunication and vehicle technologies (e.g. autonomous vehicle) facilitate evolvement of autonomous public transportation in urban areas. It involves launching new service concepts (e.g. telematics-based shared demand responsive transportation), transformation of existing modes and automatization of passenger handling functions. However, there are debates about which processes how to be utomatized. The aim is to replace human personnel by machines so as to improve service quality and decrease expenditures. The research questions were, how the functions are to be automatized and what the consequences are on both the machine and the human side. All the passenger handling functions, the existing and altering ones as well as the new functions have been investigated in process and system oriented approach. We have considered the most relevant technological novelties and their application opportunities, and then the required abilities (skills) of travelers. We have revealed correspondences among functions and human abilities. The shifting of intensities of human abilities (cognitive capability) have been estimated. Personnel groups with altering or new functions have been introduced and the functions of the replaced driver have been assigned to the groups or the machine components. Both the gains and the occurrent drawbacks have been assessed. The presented results appoint the research and innovation trends and directly facilitate the developments (e.g. design of smart devices and services as human-machine interface).