基于排队网络的移动按需系统分析与控制方法
A Queueing Network Approach to the Analysis and Control of Mobility-On-Demand Systems
AI总结：
本文提出利用排队网络分析和控制移动按需系统，通过构建两个耦合的闭合Jackson网络模型，展示如何通过线性规划和非线性优化实现系统平衡，并基于出租车数据验证了最优车辆与司机比例。
摘要：
本文提出利用排队网络分析和控制移动按需系统，通过构建两个耦合的闭合Jackson网络模型，展示如何通过线性规划和非线性优化实现系统平衡，并基于出租车数据验证了最优车辆与司机比例。
英文摘要：
This paper presents a queueing network approach to the analysis and control of mobility-on-demand (MoD) systems for urban personal transportation. A MoD system consists of a fleet of vehicles providing one-way car sharing service and a team of drivers to rebalance such vehicles. The drivers then rebalance themselves by driving select customers similar to a taxi service. We model the MoD system as two coupled closed Jackson networks with passenger loss. We show that the system can be approximately balanced by solving two decoupled linear programs and exactly balanced through nonlinear optimization. The rebalancing techniques are applied to a system sizing example using taxi data in three neighborhoods of Manhattan, which suggests that the optimal vehicle-to-driver ratio in a MoD system is between 3 and 5. Lastly, we formulate a real-time closed-loop rebalancing policy for drivers and demonstrate its stability (in terms of customer wait times) for typical system loads.
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。
