一种基于连接与自动驾驶车辆的无边界区域交通控制策略，利用现有停车基础设施
A CAV-based perimeter-free regional traffic control strategy utilizing existing parking infrastructure
AI总结：
本文提出了一种无边界的区域交通管理策略，利用现有停车设施临时停放车辆以缓解拥堵，通过自增强机制提高效率。
摘要：
本文提出了一种新的无边界的区域交通管理策略，适用于连接与自动驾驶车辆（CAV）环境。所提策略要求部分CAV在网络拥堵时临时停靠附近的停车设施。在指定的等待时间后，这些CAV被允许重新进入网络。这样做有助于减少拥堵并提高整体运营效率。与传统边界控制方法不同，所提策略利用现有停车基础设施临时停放车辆，以部分避免局部排队问题。此外，停放剩余行程距离最长的车辆会形成自增强机制，有助于比边界计费控制更快地减少拥堵。仿真结果表明，所提策略不仅减少了未被停放车辆的行驶时间，还能减少部分被停放车辆的行驶时间。重要的是，其性能已在各种停车位置和容量配置以及CAV渗透率下得到验证。
英文摘要：
This paper proposes a novel perimeter-free regional traffic management strategy for networks under a connected and autonomous vehicle (CAV) environment. The proposed strategy requires a subset of CAVs to temporarily wait at nearby parking facilities when the network is congested. After a designated holding time, these CAVs are allowed to re-enter the network. Doing so helps reduce congestion and improve overall operational efficiency. Unlike traditional perimeter control approaches, the proposed strategy leverages existing parking infrastructure to temporarily hold vehicles in a way that partially avoids local queue accumulation issues. Further, holding the vehicles with the longest remaining travel distances creates a self-reinforcing mechanism which helps reduce congestion more quickly than perimeter metering control. Simulation results show that the proposed strategy not only reduces travel time for vehicles that are not held, but can also reduce travel times for some of the held vehicles as well. Importantly, its performance has been demonstrated under various configurations of parking locations and capacities and CAV penetration rates.
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。
