客獲得数向上のためのタクシー車両配車問題のモデル化と目標エリア決定ルールの構成

概要

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This paper presents a way to acquire effective rule-sets for realizing the suitable distribution of cruising taxicabs based on a decentralized autonomous manner. As a result of the revision of Road Transportation Law, a taxi business have been saturated by new entries, and rookie drivers particularly have a lot of difficulty in finding passengers, because of the lack of the knowledge or experiences. Here, it is desired and effective for less-experienced drivers to design a support system which suggests potential destinations for finding passengers. As for the problem of distributing cruising taxicabs, there are many uncertainties caused by incomplete observations, e.g. locations of passengers as well as other taxicabs. Due to these uncertainties, it is impossible to distribute taxicabs optimally, e.g., 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 to be adjusted according to the situations of each taxicab. Through some computational simulations, the effectiveness and the potential of the proposed method are confirmed.