Coordinated flow model for strategic planning of autonomous mobility-on-demand systems
Coordinated flow model for strategic planning of autonomous mobility-on-demand systems
复制标题
用于自主按需出行系统战略规划的协调流模型
DOI：
10.1080/23249935.2023.2253474
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Hyland, Michael F.
中科院分区：
文献类型：
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作者：
Yu, Jiangbo;Hyland, Michael F.
自主机动性按需（阿莫德）系统的高质量战略规划对于阿莫德系统实施的后续阶段的成功至关重要。为了协助战略阿莫德规划，我们提出了一个动态的和灵活的流动为基础的模型的阿莫德系统。所提出的模型是计算速度快，同时捕捉两个协调流（即合作流）的状态转换：阿莫德服务车队车辆和阿莫德客户。该模型通过一个常微分方程系统捕获重要的数量动态和守恒，可以经济地响应大量和广泛的测试要求。本文通过一个基本的例子和一个更现实的案例研究来说明模型的有效性。该案例研究设想用一个假设阿莫德系统取代曼哈顿现有的出租车服务。结果表明，即使是一个简单的同向流模型可以鲁棒地预测系统范围内的阿莫德动态和支持的战略规划的阿莫德系统。
High-quality strategic planning of autonomous mobility-on-demand (AMOD) systems is critical for the success of the subsequent phases of AMOD system implementation. To assist in strategic AMOD planning, we propose a dynamic and flexible flow-based model of an AMOD system. The proposed model is computationally fast while capturing the state transitions of two coordinated flows (i.e. co-flows): the AMOD service fleet vehicles and AMOD customers. Capturing important quantity dynamics and conservations through a system of ordinary differential equations, the model can economically respond to a large number and a wide range of scenario-testing requests. The paper illustrates the model efficacy through a basic example and a more realistic case study. The case study envisions replacing Manhattan's existing taxi service with a hypothetical AMOD system. The results show that even a simple co-flow model can robustly predict the systemwide AMOD dynamics and support the strategic planning of AMOD systems.