Archer and ITA Airways target Italy’s air taxi market with electric aviation partnership
跳转至正文 Archer Aviation 与 ITA Airways 已同意探索在意大利建立电动空中出租车网络,计划连接主要城市、机场和战略目的地(披露日:2026-10-30)
跳转至正文 Archer Aviation 与 ITA Airways 已同意探索在意大利建立电动空中出租车网络,计划连接主要城市、机场和战略目的地(披露日:2026-10-30)
巴西的IACIT将在Airspace World 2023上推出两款新产品。DRONEBlocker 0100/0200反无人机系统是一种电子对抗系统,用于对抗无人机和遥控干扰(披露日:2023-03-03)
弗吉尼亚理工大学在西南弗吉尼亚州进行电动飞机测试,展示了先进空中交通技术的实际应用。该项目涉及混合电动飞机和自主飞行器,反映了eVTOL行业在适航审定和实际运营方面的进展。材料表明,相关测试已进入实验阶段,但尚未获得正式适航认证。
Electric vertical takeoff and landing (eVTOL) aircraft operating in high-density urban airspace must maintain safe separation through tactical conflict resolution, yet the energy cost of such maneuvers has not been systematically quantified. This paper investigates how conflict-resolution maneuvers under the Modified Voltage Potential (MVP) algorithm affect eVTOL energy consumption. Using a physics-based power model integrated within a traffic simulation, we analyze approximately 71,767 en route sections within a sector, across traffic densities of 10-60 simultaneous aircraft. The main finding is that MVP-based deconfliction is energy-efficient: median energy overhead remains below 1.5% across all density levels, and the majority of en route flights within the sector incur negligible penalty. However, the distribution exhibits pronounced right-skewness, with tail cases reaching 44% overhead at the highest densities due to sustained multi-aircraft conflicts. The 95th percentile ranges from 3.84% to 5.3%, suggesting that a 4-5% reserve margin accommodates the vast majority of tactical deconfliction scenarios. To support operational planning, we develop a machine learning model that estimates energy overhead at mission initiation. Because conflict outcomes depend on future traffic interactions that cannot be known in advance, the model provides both point estimates and uncertainty bounds. These bounds are conservative; actual outcomes fall within the predicted range more often than the stated confidence level, making them suitable for safety-critical reserve planning. Together(预印本;同行评审状态请核对原文。)
此次合作结合Joby的电动空中出租车与ASI的Flyways人工智能平台,以实现国家空域系统中的规模化电动飞行运营(披露日:2026-04-07)
本文提出了一种最优控制框架,用于计算所有电动飞机编队中前导-跟随编队的巡航空速,以平衡运营成本和空域复杂度。为量化控制器工作量和协调努力,开发了一种新颖的成对动态工作量(PDW)函数。在此框架内,推导了所有电动飞机在纵向风扰动下的最优空速解。此外,确定了异构编队中非线性飞机动力学的分析次优解,并正式建立了字符串稳定性的通用充分条件。通过案例研究验证了该方法,这些案例涉及在适合低空先进/城市空中交通(AAM/UAM)应用的空域走廊中运行的所有电动飞机。结果表明,次优解接近最优解,同时确保安全间距,保持字符串稳定性,并减少运营成本和空域复杂度。这些发现支持了可持续和更自主的空中交通程序的发展,这些程序将使新兴空中交通技术(如AAM/UAM)的实施及其与空中交通系统环境的整合成为可能。(预印本;同行评审状态请核对原文。)
The Low-Altitude Economy (LAE) is rapidly emerging as a new technological and industrial frontier, with unmanned aerial vehicles (UAVs), electric vertical takeoff and landing (eVTOL) aircraft, and aerial swarms increasingly deployed in logistics, infrastructure inspection, security, and emergency response. However, the large-scale development of the LAE demands a reliable aerial foundation that ensures not only real-time connectivity and computational support, but also navigation integrity and safe airspace management for safety-critical operations. High-Altitude Platforms (HAPs), positioned at around 20 km, provide a unique balance between wide-area coverage and low-latency responsiveness. Compared with low earth orbit (LEO) satellites, HAPs are closer to end users and thus capable of delivering millisecond-level connectivity, fine-grained regulatory oversight, and powerful onboard computing and caching resources. Beyond connectivity and computation, HAPs-assisted sensing and regulation further enable navigation integrity and airspace trust, which are essential for safety-critical UAV and eVTOL operations in the LAE. This article proposes a five-stage evolutionary roadmap for HAPs in the LAE: from serving as aerial infrastructure bases, to becoming super back-ends for UAV, to acting as frontline support for ground users, further enabling swarm-scale UAV coordination, and ultimately advancing toward edge-air-cloud closed-loop autonomy. In parallel, HAPs complement LEO satellites and cloud infrastructures to form a global-regional-local three-tier architecture. Looking forwa(预印本;同行评审状态请核对原文。)
With rapid urbanization and increasing population density, urban traffic congestion has become a critical issue, and traditional ground transportation methods are no longer sufficient to address it effectively. To tackle this challenge, the concept of Advanced Air Mobility (AAM) has emerged, aiming to utilize low-altitude airspace to establish a three-dimensional transportation system. Among various components of the AAM system, electric vertical take-off and landing (eVTOL) aircraft plays a pivotal role due to their flexibility and efficiency. However, the immaturity of Ultra Reliable Low Latency Communication (URLLC) technologies poses significant challenges to safety-critical AAM operations. Specifically, existing Stacked Intelligent Metasurfaces (SIM)-based eVTOL systems lack rigorous mathematical frameworks to quantify probabilistic delay bounds under dynamic air traffic patterns, a prerequisite for collision avoidance and airspace management. To bridge this gap, we employ network calculus tools to derive the probabilistic upper bound on communication delay in the AAM system for the first time. Furthermore, we formulate a complex non-convex optimization problem that jointly minimizes the probabilistic delay bound and the propagation delay. To solve this problem efficiently, we propose a solution based on the Block Coordinate Descent (BCD) algorithm and Semidefinite Relaxation (SDR) method. In addition, we conduct a comprehensive analysis of how various factors impact regret and transmission rate, and explore the influence of varying load intensity and total delay on th(预印本;同行评审状态请核对原文。)
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。)
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。)
英国研究与创新(UKRI),英国的研究与创新机构,已阐明其对英国未来航空旅行的愿景。编译(披露日:2021-08-13)
2026年10月30日 消息:Archer Aviation 与汉莎集团旗下 ITA Airways 已签署协议,合作在意大利打造全电动空中出租车网络。该网络将使用 Archer 的 Midnight(披露日:2026-10-30)
Three Tarrant County airports could soon be linked to local business hubs through a network of electric air taxis. Archer Aviation announced Friday morning that it plans to build three separate electric vertical takeoff and landing aircraft networks to serve some of the state’s largest metro areas: Fort Worth-Dallas, Houston and Austin.
BETA Technologies 获得 FAA 授予的市场调查特殊适航证,标志着其电动 VTOL 飞机在适航审定流程中迈出重要一步。此授权有助于企业开展市场调研,为后续型号合格证申请提供依据。
Archer Aviation 在旧金山湾区完成了载人演示飞行,覆盖七个北加州城市,飞行距离超过200英里,最高速度达131英里/小时。演示飞行旨在展示 eVTOL 在城市空域的运营潜力,但商业服务仍需解决监管、基础设施和运营整合问题。
BETA 成为首家获得具有里程碑意义的 FAA 授权、可在电动垂直起降飞机上搭载潜在客户开展飞行运营的公司——这是电动垂直起降飞机首次获此类授权。此前 BETA 已获得 CTOL 批准;此项授权也体现了 BETA 在两款飞机上积累的运营和安全记录,两款飞机合计已飞行超过 250,000 海里——BETA 的 A250 是……
美国运输部宣布新墨西哥州在eVTOL整合试点计划下完成首次演示飞行,由阿尔伯克基市航空部门与Reliable Robotics合作,使用混合电动系统进行货运测试。
马尔加莱将举办VERT-IGO项目活动,验证eVTOL和货运无人机在空域整合的可行性;计划在马尔加莱机场至马拉贝拉和马尔加莱港至阿尔梅里亚两条走廊进行演示飞行;项目旨在安全整合电动空中出租车和大型货运无人机进入现有空域。
作为其“无路亦可飞”飞行巡演加州行程的一部分,Archer Aviation 的 ACHR 全电动 Midnight 空中出租车完成了旧金山湾上空的多次飞行,起飞并(披露日:2026-10-19)
Archer 完成载人 eVTOL Midnight 在湾区多个城市的试飞,覆盖超过 200 英里,最高速度达 131 英里/小时。试飞验证了其在繁忙空域中的运行能力,为后续在洛杉矶的测试做准备。
挪威选定五个地点进行2027年混合电动航空器演示飞行,包括Horvnes quay、Kongsbergporten Business Park、Trondheim Airport、Oslo Airport和Mosjøen Airport。演示飞行旨在评估不同环境下的运营能力,包括无跑道场地、大型机场和短跑道机场。
Archer 的 Midnight 电动载人飞行器在旧金山湾区完成了多城市演示飞行,包括从奥克兰国际机场起飞,飞越多个城市,展示了其在复杂空域中的操作能力。飞行覆盖超过 200 英里,最高时速达 131 英里,将原本需要一小时的通勤缩短至 10-20 分钟。
Archer 的 Midnight 电动空中出租车在旧金山湾区完成了多城市演示飞行,包括多次往返 Oakland 国际机场的飞行,展示了其在复杂城市空域的运营能力。飞行覆盖七个城市,总航程超过 200 英里,最高时速达 131 英里,将原本需要一小时的通勤缩短至 10-20 分钟。
挪威五个地点被选为2027年混合电动飞机演示飞行的主办地,这有助于推动混合电动航空领域的基础设施、运营和监管要求的发展。该信息来源于挪威民航局的官方公告,表明相关方正在推进混合电动航空技术的实际应用。
Ohio 通过 DriveOhio 发布了为期三年的计划,旨在建立支持无人机和 eVTOL 运行的数字信息网络,整合空域管理、垂直起降场和航空器操作通信。该计划包含三个阶段,涵盖规划、实施和扩大运营,目前已有初步测试和基础设施部署。
推荐理由:Ohio 的数字网络计划为 eVTOL 和无人机运营提供了数据共享和协调框架,有助于推动 AAM 在复杂环境下的安全实施,但尚未进入商业运营阶段。
日本宇宙航空研究开发机构(JAXA)的一项研究提出,通过将VFR飞行限制在精心设计的四维操作体积内,可在低空空域实现VFR与无人机、eVTOL等的协同运行。研究基于实际飞行测试,验证了操作体积约束的有效性,为低空空域整合提供了技术路径。
推荐理由:该研究提出通过操作体积约束VFR飞行以实现低空空域整合,为eVTOL和无人机在复杂空域中的协同运行提供了技术路径,对空管系统设计和适航审定标准具有参考价值。
FlyOne 订购 10 架 eViator 电动飞机,显示其对 eVTOL 市场的信心。此消息与适航审定进展无直接关联,但反映了行业对可持续航空技术的兴趣。材料表明企业对新型电动飞机的市场需求有所预期。
英国CAA提出新的噪声评估和管理方法,涉及无人机和eVTOL,这可能影响相关适航审定和运行许可的制定。材料显示CAA正在探索噪声管理的新途径,但未提及具体实施计划或法规变更。
ePlane公司与诺伊达国际机场签署谅解备忘录,旨在推动电动空中出租车及相关服务的基础设施建设。此举表明eVTOL行业在寻求与机场合作以建立运营框架和标准流程。材料显示双方将共同制定监管标准操作程序和垂直港口管理系统,有助于理解行业在适航审定和运营许可方面的进展。
Utah DOT 支持两项先进空中交通(AAM)测试:Joby Aviation 的 J208 无人机完成横跨美国的 Electric Skies 巡航,以及 BETA Technologies 的 ALIA CX300 电动飞行演示。测试旨在验证技术在真实环境中的应用,推动 AAM 技术整合。
EHang与越南河内科技部门及HungViet公司签署备忘录,启动EH216-S无人载人eVTOL的监管沙盒测试。测试将围绕低空经济场景展开,包括受控试飞、无人机交通管理模型建设和运营控制中心模型开发。测试将依据越南本地法规进行,逐步推进商业化相关工作。
SkyDrive 计划在大阪市利用现有屋顶应急着陆点建设 146 个 eVTOL 机场,开展可行性研究。项目将评估屋顶结构适航性及空域协调。该计划旨在推动 eVTOL 城市空中交通网络落地。
华盛顿 — 联邦航空管理局(FAA)宣布埃尔罗伊和路易斯安那州交通与发展部进行了混合电动演示(披露日:2026-08-31)
华盛顿——美国联邦航空管理局(FAA)宣布Electra与宾夕法尼亚州交通部合作,与新泽西州交通部共同进行关键演示(披露日:2026-08-18)
美国联邦航空管理局今天宣布,Ampaire公司和犹他州交通部沿犹他州I-15走廊进行了混合电动演示飞行,以测试未来的货运服务。
Jeppesen ForeFlight 和 UrbanLink Air Mobility 今天宣布他们已签署一份谅解备忘录(MOU),以合作制定电子飞行包(EFB)要求和(披露日:2026-07-28)
AutoFlight已完成三架eVTOL飞机的混合编队飞行,并为其V5000CGH货运混合电动型号进入适航认证。上海(披露日:2026-05-28)
Unmanned Publications发布的最新分析,聚焦eVTOL的先进空中交通(AAM)基础设施项目, Worldwide AAM/UAM路线和项目指南,已识别(披露日:2026-05-17)
Joby完成纽约市首次点对点电动垂直起降(eVTOL)空中出租车演示飞行,展示运营成熟度和无缝整合(披露日:2026-04-27)
菲利普·伯特沃斯-海耶斯据埃航空报报道,首批商业eVTOL飞行应在接下来的几天内起飞。数月来,该产品(披露日:2026-03-24)