Before shared automated vehicles (SAVs) can be widely adopted, they are anticipated to be implemented commercially in confined regions or fixed routes where the benefits of automation can be realized. SAVs have the potential to operate in a traditional transit corridor, replacing conventional transit vehicles, and have frequent interactions with riders and other vehicles sharing the same right of way. This paper microsimulates SAVs’ operation on a 6.5-mile corridor to understand how vehicle size and attributes of such SAV-based transit affect traffic, transit riders, and system costs. The SUMO (Simulation of Urban MObility) platform is employed to model microscopic interactions among SAVs, transit passengers, and other traffic. Results show that the use of smaller, but more frequent, SAVs leads to reduced passenger waiting times but increased vehicle travel times. More frequent services of smaller SAVs do not, in general, significantly affect general traffic due to shorter dwell times. Overall, using smaller SAVs instead of the large 40-seat SAVs can reduce system costs by up to 4% while also reducing passenger waiting times, under various demand levels and passenger loading factors. However, the use of 5-seat SAVs does not always have the lowest system costs.

中文翻译：

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公交线路走廊上的 SAV 运营：出行需求、服务频率和车辆大小

在共享自动驾驶汽车 (SAV) 被广泛采用之前，预计它们将在可以实现自动化优势的封闭区域或固定路线中进行商业化实施。SAV 有可能在传统的交通走廊中运行，取代传统的交通车辆，并与乘客和其他拥有相同通行权的车辆频繁互动。本文微观模拟了 SAV 在 6.5 英里走廊上的运行，以了解这种基于 SAV 的交通的车辆大小和属性如何影响交通、公交乘客和系统成本。SUMO（城市移动性模拟）平台用于模拟 SAV、过境乘客和其他交通之间的微观交互。结果表明，使用更小，但更频繁，SAV 可减少乘客等待时间，但会增加车辆行驶时间。由于较短的停留时间，较小 SAV 的更频繁的服务通常不会显着影响一般交通。总体而言，在各种需求水平和乘客负载因素下，使用较小的 SAV 代替大型 40 座 SAV 可以将系统成本降低多达 4%，同时还可以减少乘客等待时间。然而，使用 5 座 SAV 并不总是具有最低的系统成本。