A Multi-Agent System to Study the Internal Displacement of Passengers and Their Distribution on a Large-Capacity Bus

摘要: Abstract Pedestrian dynamics have been widely studied in the context of crowds panic situations. In this contribution, however, we condensed research undertaken on users inside high-capacity buses under normal conditions. The and distribution followed by bus lead to spatial distributions which several areas present a low density located close entrances exits exhibit very high users. This variation is inconvenient for number reasons, as capacity not achieved because uneven distributions, discomfort high. Through an agent-based model, study agents’ their interactions between them interiors such seats corridors. We conclude that even when tend move area they perceive occupation, if some agents try maintain position exit door, odd are achieved. To find better policies, tested alternatives enter bus. found it possible comfort other policies entrance/exit implemented. Also, applied genetic algorithm seat measures, subject given policy.