基于AV的移动系统协同设计研究
On the Co-Design of AV-Enabled Mobility Systems
摘要：
自动驾驶汽车（AV）的设计和支持AV的移动系统的设计是紧密耦合的。事实上，对自动驾驶汽车预期服务的了解将影响其设计和部署过程，而对其技术发展的了解可能会显著影响运输管理决策。这就需要工具来研究这种耦合，并根据不同的目标共同设计自动驾驶汽车和自动驾驶汽车支持的移动系统。在本文中，我们实例化的框架来解决这样的协同设计问题。特别是，我们利用最近开发的协同设计理论来框架和解决设计和部署多式联运自主移动按需系统的问题，从而自动驾驶汽车与公共交通共同服务出行需求，在车队规模，车辆自主性和公共交通服务频率方面。我们的框架是模块化和组合，允许一个描述的设计问题，其各个组件的互连，并从系统级的角度来解决它。为了展示我们的方法，我们提出了华盛顿特区的一个真实案例研究，USA.我们的工作表明，有可能创建用户友好的优化工具，系统地评估干预措施的成本和效益，这种分析技术可能会在未来的决策中发挥重要作用。
英文摘要：
The design of autonomous vehicles (AVs) and the design of AV-enabled mobility systems are closely coupled. Indeed, knowledge about the intended service of AVs would impact their design and deployment process, whilst insights about their technological development could significantly affect transportation management decisions. This calls for tools to study such a coupling and co-design AVs and AV-enabled mobility systems in terms of different objectives. In this paper, we instantiate a framework to address such co-design problems. In particular, we leverage the recently developed theory of co-design to frame and solve the problem of designing and deploying an intermodal Autonomous Mobility-on-Demand system, whereby AVs service travel demands jointly with public transit, in terms of fleet sizing, vehicle autonomy, and public transit service frequency. Our framework is modular and compositional, allowing one to describe the design problem as the interconnection of its individual components and to tackle it from a system-level perspective. To showcase our methodology, we present a real-world case study for Washington D.C., USA. Our work suggests that it is possible to create user-friendly optimization tools to systematically assess costs and benefits of interventions, and that such analytical techniques might gain a momentous role in policy-making in the future.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
