We develop an agent-based simulator named METS-R SIM to support operational decisions for multi-modal shared autonomous vehicle (SAEV) services. Compared with existing traffic simulators, METS-R SIM offers several valuable features including: 1) A microscopic vehicle movement model for SAEV services, which allows us to explicitly model vehicular interactions and generate detailed speed and acceleration profiles for energy estimation. 2) An efficient implementation in which parallel computing is embedded in METS-R SIM which can update the state of different agents (e.g., vehicle locations in different links) simultaneously. 3) A modular and extensible framework as the simulator is built upon an agent-based modeling environment named Repast Simphony which is featured by its well-factored abstractions; in addition, a server-client structure is introduced to implement real-time operational algorithms such as energy-efficient routing and adaptive transit scheduling. 4) Open-source, reproducible with web-based visualization (METS-R SIM introduces these features to promote transparency). We validate METS-R SIM by matching the aggregated travel time and travel distance with the real observed ones obtained from New York City (NYC). We also compare the generated speed profiles qualitatively to the ones reported in published studies. We demonstrate the functionalities of our simulator by simulating SAEV services deployed to serve travel needs related to three main transportation hubs in NYC.

我们开发了一个名为 METS-R SIM 的基于代理的模拟器，以支持多模式共享自动驾驶汽车 (SAEV) 服务的运营决策。与现有的交通模拟器相比，METS-R SIM 提供了几个有价值的功能，包括：1）用于 SAEV 服务的微观车辆运动模型，它使我们能够明确地模拟车辆交互并生成详细的速度和加速度曲线以进行能量估计。2）一种高效的实现方式，其中并行计算嵌入到METS-R SIM中，可以同时更新不同代理的状态（例如，不同链路中的车辆位置）。3) 模拟器的模块化和可扩展框架是建立在基于代理的建模环境 Repast Simphony 之上的，其特点是良好的抽象；此外，还引入了服务器-客户端结构来实现实时操作算法，例如节能路由和自适应公交调度。4) 开源，可通过基于网络的可视化进行重现（METS-R SIM 引入这些功能是为了提高透明度）。我们通过将汇总的旅行时间和旅行距离与从纽约市 (NYC) 获得的真实观察值进行匹配来验证 METS-R SIM。我们还将生成的速度曲线与已发表的研究中报告的速度曲线进行定性比较。我们通过模拟为满足纽约市三个主要交通枢纽相关的出行需求而部署的 SAEV 服务来演示模拟器的功能。