Agent-based simulation of autonomous taxi services with dynamic demand responses

Sebastian HÖrl
2017 Procedia Computer Science  
An agent-based simulation approach is presented, which makes it possible to capture the dynamic interplay between a supply of autonomous vehicle fleets with distinct operational schemes and a population of artificial persons based on an established multiagent traffic simulation framework. The simulation is able to show how agents react to the new travel options and make consistent decisions based on a well-defined framework of utility scoring.
doi:10.1016/j.procs.2017.05.418 fatcat:oupufbe325bjbec5ugyhtwrihi