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2025年6月13日周五
2025年6月11日周三
2025年5月28日周三
  1. www.cnbc.com历史资料

    Joby Aviation股价上涨近29% 电动空中出租车制造商完成2.5亿美元丰田投资

    Joby Aviation获得丰田2.5亿美元投资，用于支持其电动空中出租车的适航认证和商业化生产，显示了行业对电动垂直起降（eVTOL）技术的持续关注。该投资表明丰田对eVTOL行业的信心，可能推动相关适航审定进程。依据来源摘要，材料未提及具体适航阶段或取证进展。

2025年5月27日周二
2025年4月10日周四
2025年4月1日周二
2025年3月28日周五
2025年3月26日周三
2025年3月14日周五
2025年2月20日周四
2025年1月16日周四
2025年1月3日周五
  1. arXiv eVTOL预印本历史资料

    基于数字孪生的SIM通信与飞行控制用于先进空中交通

    Electric Vertical Take-off and Landing vehicles (eVTOLs) are driving Advanced Air Mobility (AAM) toward transforming urban transportation by extending travel from congested ground networks to low-altitude airspace. This transition promises to reduce traffic congestion and significantly shorten commute times. To ensure aviation safety, eVTOLs must fly within prescribed flight corridors. These corridors are managed by ground-based Air Traffic Control (ATCo) stations, which oversee air-ground communication and flight scheduling. However, one critical challenge remains: the lack of high rate air-ground communication and safe flight planning within these corridors. The introduction of 6G-oriented Stacked Intelligent Metasurface (SIM) technology presents a high rate communication solution. With advanced phase-shifting capabilities, SIM enables precise wireless signal control and supports beam-tracking communication with eVTOLs. Leveraging this technology, we propose a Composite Potential Field (CPF) approach. This method dynamically integrates target, separation, and communication fields to optimize both SIM communication efficiency and flight safety. Simulation results validate the effectiveness of this DT-based approach. Compared to the potential field flight control benchmark, it improves the transmission rate by 8.3\%. Additionally, it reduces flight distance deviation from the prescribed corridor by 10\% compared to predetermined optimization methods.（预印本；同行评审状态请核对原文。）

2024年12月21日周六
2024年12月17日周二
2024年12月12日周四
2024年11月22日周五
2024年11月4日周一
2024年11月1日周五
2024年10月21日周一
2024年10月9日周三
2024年10月8日周二
2024年10月6日周日
  1. skift.com历史资料

    Joby Aviation 从丰田获得 5 亿美元资金用于飞行出租车：初创公司融资 roundup

    Joby Aviation 获得丰田 5 亿美元投资，用于其电动空中出租车项目，显示了传统汽车制造商对 eVTOL 行业的兴趣。此轮融资是近年来飞行出租车领域最大的一笔，表明行业正在获得资本支持。材料表明，多家公司正在推进飞行出租车的商业化，但尚未获得适航认证。

2024年8月29日周四
2024年8月15日周四
2024年7月3日周三
2024年6月28日周五
2024年6月12日周三
  1. arXiv eVTOL预印本历史资料

    利用随机优化的先进空中交通飞机制造集成供应链网络设计

    Electric vertical takeoff and landing (eVTOL) aircraft manufacturers await numerous pre-orders for eVTOLs and expect demand for such advanced air mobility (AAM) aircraft to rise dramatically soon. However, eVTOL manufacturers (EMs) cannot commence mass production of commercial eVTOLs due to a lack of supply chain planning for eVTOL manufacturing. The eVTOL supply chain differs from traditional ones due to stringent quality standards and limited suppliers for eVTOL parts, shortages in skilled labor and machinery, and contract renegotiations with major aerospace suppliers. The emerging AAM aircraft market introduces uncertainties in supplier pricing and capacities, eVTOL manufacturing costs, and eVTOL demand, further compounding the supply chain planning challenges for EMs. Despite this critical need, no study has been conducted to develop a comprehensive supply chain planning model for EMs. To address this research gap, we propose a stochastic optimization model for integrated supply chain planning of EMs while maximizing their operating profits under the abovementioned uncertainties. We conduct various numerical cases to analyze the impact of 1) endogenous eVTOL demand influenced by the quality of eVTOLs, 2) supply chain disruptions caused by geopolitical conflicts and resource scarcity, and 3) high-volume eVTOL demand similar to that experienced by automotive manufacturers, on EM supply chain planning. The results indicate that our proposed model is adaptable in all cases and outperforms established benchmark stochastic models. The findings suggest that EMs can commence ma（预印本；同行评审状态请核对原文。）

2024年6月4日周二
2024年5月31日周五
2024年5月29日周三
2024年5月15日周三
2024年5月9日周四
2024年5月2日周四
2024年4月4日周四
  1. arXiv eVTOL预印本历史资料

    城市空中交通的自组织自由飞行到达

    Urban air mobility is an innovative mode of transportation in which electric vertical takeoff and landing (eVTOL) vehicles operate between nodes called vertiports. We outline a self-organized vertiport arrival system based on deep reinforcement learning. The airspace around the vertiport is assumed to be circular, and the vehicles can freely operate inside. Each aircraft is considered an individual agent and follows a shared policy, resulting in decentralized actions that are based on local information. We investigate the development of the reinforcement learning policy during training and illustrate how the algorithm moves from suboptimal local holding patterns to a safe and efficient final policy. The latter is validated in simulation-based scenarios, including robustness analyses against sensor noise and a changing distribution of inbound traffic. Lastly, we deploy the final policy on small-scale unmanned aerial vehicles to showcase its real-world usability.（预印本；同行评审状态请核对原文。）

2024年3月29日周五
2024年3月15日周五
2024年2月27日周二
2024年1月31日周三