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摘要
This paper presents a way to acquire effective rule-sets for realizing the suitable distribution of cruising taxicabs based on a decentralized autonomous approach. As a result of the revision of the Road Transportation Law, the taxi business has been saturated by new entries, and rookie drivers in particular have considerable difficulty in finding passengers because of lack of knowledge or experience. Thus designing a support system that suggests potential destinations for finding passengers is desirable and effective in assisting less-experienced drivers. As for the problem of distributing cruising taxicabs, there are many uncertainties caused by incomplete observations, for example, locations of passengers as well as other taxicabs. Due to these uncertainties, it is impossible to distribute taxicabs optimally, for example, by a certain centralized control. This paper proposes a decentralized and autonomous framework for distributing cruising taxicabs by adopting priority-based rules, which calculate the priorities of areas, which are then adjusted according to the situation of each taxicab. Through computational simulations, the effectiveness and the potential of the proposed method are confirmed.
