In this paper, we explore existing synergies between private and public transportation as provided by taxi and bus services on the level of individual trips. While these modes are typically separated for economic reasons, in a future with shared Autonomous Vehicles (AVs) providing cheap and efficient transportation services, such distinctions will blur. Consequently, optimization based on real-time data will allow exploiting parallels in demand in a dynamic way, such as the proposed approach of the current work. New operational and pricing strategies will then evolve, providing service in a more efficient way and utilizing a dynamic landscape of urban transportation. In the current work, we evaluate existing parallels between individual bus and taxi trips in two Asian cities and show how exploiting these synergies could lead to an increase in transportation service quality.

中文翻译：

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确定私人和公共交通的协同作用

在本文中，我们探讨了出租车和巴士服务在个人出行层面提供的私人和公共交通之间现有的协同作用。虽然这些模式通常出于经济原因而分开，但在未来共享自动驾驶汽车 (AV) 提供廉价高效的交通服务时，这种区别将变得模糊。因此，基于实时数据的优化将允许以动态方式利用需求的相似性，例如当前工作的建议方法。新的运营和定价策略将随之发展，以更有效的方式提供服务并利用城市交通的动态景观。在目前的工作中，