SkyDrive 与 Kansai 企业合作探索 eVTOL 运营
SkyDrive 与 Kansai 地区领先企业启动联合计划,研究 eVTOL 在西日本的商业部署和运营框架。合作涵盖基础设施改造、飞行网络规划、安全管理和商业模式评估,旨在推动 eVTOL 在城市交通中的应用。
SkyDrive 与 Kansai 地区领先企业启动联合计划,研究 eVTOL 在西日本的商业部署和运营框架。合作涵盖基础设施改造、飞行网络规划、安全管理和商业模式评估,旨在推动 eVTOL 在城市交通中的应用。
SkyDrive 与关西企业启动日本西部 eVTOL 运营研究,探索飞行路线与运营模式。合作涵盖飞行测试与基础设施规划,旨在推动区域空中交通发展。项目处于初步探讨阶段,尚未涉及具体融资或供应商协议。
英国航空监管机构CAA启动关于新型信息管理系统(SWIM)实施框架的公开征求意见,旨在推动空域现代化,建立统一的信息治理、标准和基础设施。该系统将支持有人和无人驾驶航空器的协同运行,征求意见将持续至2027年1月。
推荐理由:英国CAA启动SWIM系统实施框架的征求意见,影响航空信息管理标准制定及未来空域现代化政策方向,相关行业需参与反馈以影响技术架构和运营场景设计。
关于我们 亚洲航空是亚太地区领先的航空报道权威,为行业专业人士提供及时的见解、分析和情报。联系我们:[email protected]
近日,亿航智能作为唯一受邀eVTOL企业,随同泰国民航局(CAAT)局长Manat Chavanaprayoon一行赴普吉岛开展交流,与普吉府新任府尹Chotinrin Kerdsom等普吉府各政府部门人员进行普吉岛绿能交通与低空经济专题会议。三方达成共识,将成立专项工作小组,启动普吉岛无人驾驶eVTOL商业落地推进工作。 聚焦低空场景创新,打造绿色海岛样板 本次普吉岛绿能交通与低空经济专题会议聚 近日, 亿航智能作为唯一受邀eVTOL企业,随同泰国民航局(CAAT)局长Manat Chavanaprayoon一行赴普吉岛开展交流 ,与普吉府新任府尹Chotinrin Kerdsom等普吉府各政府部门人员进行普吉岛绿能交通与低空经济专题会议。 三方达成共识,将成立专项工作小组,启动普吉岛无人驾驶eVTOL商业落地推进工作 。
蒙大拿州格雷杰第一民族与德国遥感公司Mundialis签署谅解备忘录,以开发社区拥有的(披露日:2026-09-29)
近日, 亿航智能 作为唯一受邀eVTOL企业,随同泰国民航局(CAAT)局长Manat Chavanaprayoon一行赴普吉岛开展交流,与普吉府新任府尹Chotinrin Kerdsom等普吉府各政府部门人员进行普吉岛绿能交通与低空经济专题会议。三方达成共识,将成立专项工作小组,启动普吉岛无人驾驶eVTOL商业落地推进工作。(亿航智能官微) 喜欢您正在阅读的内容吗?欢迎免费订阅泰伯每周精选电邮。 立即订阅 声明:泰伯网登载此文出于传递更多信息之目的,并不意味着赞同其观点或证实其描述,文章内容仅供参考。
电动垂直起降(eVTOL)飞行器的荷电状态(SoC)估算必须在飞行器上运行,同时受严格的能耗和适航认证预算约束,其工作周期也与汽车领域文献中的任何情况都不同。本研究设计了一种事件驱动脉冲网络,作为 nBMS 神经形态电池管理架构中的状态估算核心,用于逐时间步估算 SoC,并在公开的22单体 eVTOL 数据集上进行评估,同时以汽车数据进行交叉验证。增量与群体编码器、二阶 Σ-Δ 脉冲层以及速率累加器读出模块,在不执行密集乘加(MAC)运算的情况下,将参数量控制为34{,}433 int16。该估算器的均方根误差(RMSE)为2.45\%,而经过调优的长短期记忆网络(LSTM)基线为1.74\%;这一差距被描述为巡航阶段的时间混合限制;作为交换,在传感器噪声下,其性能退化速度比自适应漏积分发放控制慢 1.6 倍;每步约需 3{,}500 次加法,而 LSTM 需要 67{,}700 次乘加运算。完整核心部署在一块低成本、符合汽车级要求的 Artix-7 现场可编程门阵列上,块 RAM 利用率为 87\%,在 50~MHz 时满足时序要求,并在硅片上针对一段真实的 491 步飞行片段,逐位精确地复现冻结的定点参考结果。完整标注的实现后分析显示,每次推理耗能 1.30~$μ$J;按 0.5~Hz 的任务节奏运行时,平均功耗为 0.65~$μ$W。(预印本;同行评审状态请核对原文。)
建筑师Figurr Architects Collective宣布与Aureum Mobility建立战略合作伙伴关系,Aureum Mobility是一家先进空中交通(AAM)基础设施公司,专注于无人机和(披露日:2026-09-07)
跳过内容 图片信息 预计阅读时间 3 分钟 33 秒。New Horizon Aircraft Ltd.,一家先进的航空航天公司,正在开发首批混合电动垂直起降(VTOL)飞机之一,继续通过公司与飞行卓越中心(dba Cert Center Canada)的持续合作,推进其 Cavorite X7 的全天候认证路径,”3…
华盛顿 — 联邦航空管理局(FAA)今天宣布向华盛顿马纳萨斯机场(HEF)颁发了第139部分机场运营证书,该证书使机场能够容纳某些商业客运航空公司
Accurate demand forecasting is a prerequisite for eVTOL vertiport dispatch, pad staffing, battery service planning, and access management, yet short-horizon demand is affected by confounded interactions among weather, road access, queue feedback, aircraft availability, and pricing interventions. This study evaluates the proposed model on a synthetic but engineering-constrained eight-vertiport network, so the reported results should be interpreted as controlled methodological evidence rather than direct commercial demand measurement. The paper proposes a Causal Aware Feature Fusion DeepONet Mamba model that learns a function-to-function mapping from urban mobility states to vertiport demand fields. Causal gates separate contextual variables, network states, and intervention-sensitive variables before a Mamba branch encoder and coordinate-aware DeepONet trunk produce interval demand forecasts. Experiments with 184 simulated operating days show that the proposed model achieves an MAE of 18.7 requests per 15-minute interval, reducing error by 15.6% relative to the strongest non-causal baseline. Peak interval error decreases to 54 requests, 0.9-quantile pinball loss decreases to 11.3, and scenario ranking error is reduced by 32.8% compared with Mamba without causal fusion. Spatial transfer tests, missing-sensor experiments, and capacity-restriction scenarios indicate that causal feature control improves robustness when operating conditions deviate from ordinary correlations. The results show that combining causal fusion, neural operator learning, and selective state-space memory
This paper presents a demand-driven framework for on-demand Urban Air Mobility (UAM) network design that links vertiport siting, fleet simulation, and door-to-door travel-time feasibility. Demand is estimated from commuter and passenger activity data, converted into spatial trip-end points, and clustered using K-means to generate candidate vertiport locations. Candidate networks are screened using range and minimum station-spacing constraints, then evaluated with a discrete-event simulation that models multi-vehicle dispatch, deadhead relocation, battery swaps, and service regularity. Flight time and energy consumption are computed using a point-mass eVTOL performance model. In a Greater Los Angeles case study, the preferred design expands from four stations and four eVTOLs at low demand to sixteen stations and twelve eVTOLs at the highest tested demand level. Results show that larger fleets improve completion time and vehicle-arrival regularity but do not eliminate deadhead flights, indicating that spatial demand imbalance remains an operational burden. The travel-time savings analysis further suggests that UAM is most defensible for longer or congestion-heavy trips where sufficient non-flight time remains after accounting for flight time.(预印本;同行评审状态请核对原文。)
Vertical Aerospace获得约1亿美元融资承诺,用于推进Valo电动飞机的适航认证和商业化。该融资包括Mudrick Capital Management的4000万美元,但尚未签署最终协议。此信息反映了企业在eVTOL行业推进项目所需的资本支持,表明其在适航认证阶段的进展及商业化计划。
《阿斯塔纳时报》提供来自哈萨克斯坦及全球的新闻和信息。ASTANA — 哈萨克斯坦在乘客(披露日:2026-08-07)
加拿大先进空中交通(CAAM)及其成员Perkins&Will已为加拿大不列颠哥伦比亚省兰利地区机场推出先进的空中交通垂直起降港口概念(披露日:2026-08-06)
AutoFlight在2026年未来运动会期间展示了其空中出租车的演示飞行,表明其在先进空中交通领域的实际应用进展。该活动与AAAG的合作关系显示了其在中亚地区推广AAM的计划。材料表明AutoFlight正在推进其电动垂直起降飞行的展示,但未提及适航认证或具体运营许可状态。
AutoFlight 与其战略合作伙伴 Alatau Advance Air Group Ltd 通过现场电动垂直起降(eVTOL)演示,展示先进空中交通(披露日:2026-07-25)
公司还与ANAC联合宣布开展行业咨询,审查Eve 100的适航性标准(披露日:2026-07-21)
随着自主飞行器的大规模引入和交通密度的增加,集中式管理不足以协调大量有人和无人驾驶飞行器。因此,提出了专用的先进空中交通(AAM)走廊,以组织高密度的自主交通流。为了可扩展地提供自主飞行器在轨迹规划中的灵活性,推动了在AAM走廊中开发去中心化交通管理方法。在本研究中,我们扩展了一种多智能体强化学习(MARL)方法,以应对空中走廊网络中去中心化交通流管理的挑战。我们在单走廊设置中训练的策略,以零样本方式测试在越来越复杂的多走廊网络中的表现,这些网络包含合并和分叉的组合。实验结果表明,学习到的行为能够很好地转移到交通密度、网络几何形状和异构车辆性能不同的场景中,而无需集中协调或模型再训练。我们从走廊边界符合度、完成率、平均速度、行驶距离和保持飞行器间分离度等方面评估系统级性能。我们发现,尽管我们的策略仅需要本地协调的进入、穿越和退出行为,但它们集体产生了理想的走廊网络交通流。(预印本;同行评审状态请核对原文。)
The success of advanced air mobility (AAM) operations is largely contingent on its effective integration with other ground transport modes. Under many use cases, AAM operators have to work with ride-hailing operators to create a seamless air taxi travel experience with adequate first and last-mile access. In investigating this multimodal coalition, this study proposes a distance-based subsidy rate design for AAM operators to incentivize ride-hail access to AAM hubs, incorporating air mobility operators' profitability considerations and travelers' route choices jointly. Using New York City (NYC) airport access as a case study, this study integrates high-volume for-hire vehicle (HVFHV) data from NYC taxi zones to consider real-world spatial demand distributions while considering passenger groups with different values of time (VOT) to derive insights on distinctive customer bases. Overall, the results show that AAM operators would need to subsidize the ride-hailing operators on vertiport access trips when air taxi operating costs exceed $12/mi. The analysis of ridership at AAM hubs indicates that ridership and profit contributions differ across different candidate vertiports in Manhattan, reflecting spatial demand heterogeneity. Additionally, having the airport access system in place, the taxi zones that generate the highest passenger demand to all three major NYC airports are identified under lower air taxi fare scenarios. These findings highlight how a distance-based subsidy rate design is beneficial in facilitating better access to vertiports and to foster high air taxi rid(预印本;同行评审状态请核对原文。)
先进航空运输(AAM)是一种新兴的低空交通系统,其成功部署依赖于技术进步和公众接受度。公众接受度可以影响政府支持、法规、噪音标准、飞行意愿以及AAM的商业可行性。因此,了解公众情绪对于识别社会障碍并制定有效的采用策略至关重要。本研究分析了从Reddit和Quora收集的306,009条人工生成文本,利用人工智能模型研究与AAM相关的公众讨论。评估了七种情感分析方法,包括基于词典、机器学习、深度学习和变压器模型,以确定最适合AAM特定情感分类的可靠方法。ModernBERT实现了最高的性能,并用于标记整个数据集。随后在每个情感类别中应用潜在狄利克雷分布(Latent Dirichlet Allocation),以识别潜在主题并考察其从2008年到2025年的演变。分析识别出20个主题和六个主要跨情感集群:劳动力和技能发展、法规与合规、无人机技术性能、军事与地缘政治应用、安全与运营风险以及噪音与干扰。这些发现可以帮助政策制定者、行业利益相关者、研究人员和运营商制定有针对性的法规、安全措施、劳动力计划、降噪策略和公众沟通努力,以解决关切并支持AAM的负责任部署。(预印本;同行评审状态请核对原文。)
航空交通增长、先进空中交通和日益自主的操作正在推动对可扩展和适应性空域设计方法的需求。这一挑战的核心在于量化交通流结构和需求,部分由空域几何形状决定,如何影响冲突生成和运营复杂性。本文提出一个分析框架,利用随机流量模型计算结构化空域中的冲突率和冲突概率。交通流被建模为具有规定到达间隔时间分布的更新过程,而流之间的相互作用则通过几何依赖的最小间距约束在合并和交叉处进行捕捉。在此公式中,推导出冲突率和冲突概率的预期值的闭合形式上界,作为流量配置和需求的函数。这些指标被解释为空域复杂性的互补度量,反映了管制员工作量和每架飞机的操作风险。该方法被应用于具有不同路由结构和流量分布的代表性六边形单元几何形状。结果揭示了路由灵活性、容量和冲突生成之间的非单调权衡,中间流量配置优于高度受限和高度分布的案例。所提出的框架为评估空域设计替代方案和基于复杂性的交通管理策略提供了一个可行的工具。(预印本;同行评审状态请核对原文。)
机场接入用例是城市空中交通(UAM)早期阶段具有前景的应用。理解UAM在机场的运营模式对于制定公平且有效的监管和管理决策至关重要。一个核心的开放问题是UAM是否会像地铁和铁路这样的常规定期运输服务一样被整合进机场交通网络,还是像交通运输网络公司(TNC)那样以动态供需匹配为特征。在本文中,我们提出一个两阶段框架,用于开展UAM网络的经济可行性分析。在第一阶段,我们引入了一个联合供需变量定价问题,以评估动态定价对UAM运营的影响。该模型使用二元Logit公式来捕捉出行时间优势与票价水平之间的权衡。在第二阶段,确定的需求作为输入用于非线性充电时间的电动城市空中交通车辆路径问题(eUAMVRP-NL),以优化车队调度和充电决策,从而得出运营收入和成本估算。我们将该框架应用于洛杉矶国际机场(LAX)接入市场的案例研究,该案例包含一个八辐状垂直港口网络。我们的结果表明,UAM运营显著受益于类似TNC的管理;相比固定定价方案,可变定价政策可使运营利润增加超过100%。此外,我们识别出较长UAM飞行中的阶段长度经济性。(预印本;同行评审状态请核对原文。)
全球首个自主、全电动空中出租车服务。Wisk的自动驾驶eVTOL飞机由波音支持,已安全完成1,750多次测试飞行。(披露日:2026-05-28)
Advanced air mobility operations will require reliable coordination mechanisms for managing dense traffic near vertiports. However, sequencing decisions may become vulnerable when they rely on potentially falsified self-reported information such as estimated time of arrival. Self-interested vehicles may misreport their arrival times to obtain favorable landing priority, while malicious actors may spoof information to disrupt sequencing decisions or induce unnecessary congestion. This paper studies secure coordination for vertiport sequencing under sensing uncertainty. We consider a coordinator that combines self-reported Remote-ID information with externally obtained surveillance measurements to check reports and assign separation-feasible arrival schedules. Since surveillance-based estimates are uncertain, falsified reports may remain consistent with the sensing uncertainty region and cannot always be rejected outright. We therefore formulate sequencing as a robust design problem over this uncertainty region. Self-interested misreporting is modeled as a strategic deviation that improves the reporting vehicle's own sequencing outcome, whereas malicious spoofing is modeled as an adversarial disturbance that degrades the system-level objective. The final paper will develop robust sequencing rules over surveillance-consistent uncertainty sets and evaluate their performance in representative vertiport sequencing scenarios.(预印本;同行评审状态请核对原文。)
该研究提出了针对多方向地表操作的垂直港口调度优化方法,通过MILP模型减少延误并提升吞吐量,对eVTOL行业中的基础设施规划和运营效率具有参考价值。研究结果表明,优化调度可显著提升垂直港口的运营能力,为未来城市空中交通系统的建设提供理论支持。
本文分析了2026年eVTOL市场的增长潜力及投资风险,提及Joby Aviation作为早期参与者的表现及股价波动。材料显示该行业可能迎来显著增长,但投资需谨慎。依据来源摘要,未涉及具体适航或型号审定进展。
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。)
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。)
Advanced Air Mobility (AAM) operations are planned to utilize strategic flight planning services that predict temporal uncertainties to validate flight plans against hazards such as weather cells, restricted airspaces, and CNS disruption areas. This paper presents a Kalman Filter-based uncertainty propagation method that models Flight Management System (FMS) correction behavior through a sigmoid-blended measurement noise covariance. The sigmoid formulation generalizes existing discrete FMS activation thresholds into a continuous, tunable function that smoothly transitions the filter's measurement noise based on progress toward each waypoint. When the measurement noise is high, due to an inverse relationship, the Kalman gain is small and thus uncertainty grows; as the aircraft nears a waypoint, measurement noise decreases as a function of progress, the Kalman gain increases, and state covariance contracts which models the FMS progressively correcting toward the planned trajectory. The approach is computationally efficient (up to two orders of magnitude faster than Monte Carlo methods), scales with control inputs, and is parametrically tunable for different classes of aircraft. The measurement noise covariance is calibrated using real Automatic Dependent Surveillance-Broadcast (ADS-B) data from commercial Instrument Flight Rules (IFR) flights serving as surrogates for future AAM operations, achieving coverage probability conservative relative to theoretical Gaussian predictions at the 1-sigma confidence level on a hold out verification dataset (N = 36). Parameter sensitivity (预印本;同行评审状态请核对原文。)
空客直升机获得加拿大运输部的型号合格证,标志着H175直升机在加拿大正式进入适航运营阶段。此事件反映了国际航空监管机构对eVTOL及传统直升机型号的审定流程,也表明H175在加拿大市场的合规性已得到认可。
加州eVTOL制造商Pivotal宣布“已成为北美首家获得认证的先进空中交通(AAM)纯正eVTOL飞机制造商(披露日:2026-01-15)
城市空中交通(UAM)带来了前所未有的交通协调挑战,尤其是在密集城区走廊中无人机密度不断增加的情况下。本文介绍了一种数学模型,利用控制算法优化一种基于边缘人工智能的分布式蜂群架构,以实现智能冲突解决,使系统能够在低延迟下进行实时决策。通过使用轻量级神经网络,该系统利用边缘节点执行分布式冲突检测与解决。开发了一个仿真平台,以评估在不同无人机密度下的该方案。结果表明,冲突解决时间缩短了多达3.8倍,且准确性相比传统集中式控制模型有所提升。所提出的架构对于未来UAM系统的可扩展、高效和安全的空中交通管理具有很高的前景。(预印本;同行评审状态请核对原文。)
安得拉邦与Sarla Aviation合作建立印度首个百亿美元级电动空中出租车制造集群,标志着印度在eVTOL领域的重要进展。该计划涉及巨额投资和大型制造设施,可能推动印度在下一代航空技术中的地位。材料显示双方已签署备忘录,但尚未形成正式订单或完成具体步骤。
Horizon Aircraft 选择 PT6A 发动机用于其 eVTOL 项目,显示了混合动力系统在 eVTOL 领域的应用趋势。该选择有助于推进适航认证进程,同时减少碳排放,对行业技术发展具有参考价值。材料表明企业合作和技术选型对项目推进具有重要意义。
无人机(UAVs)在低空空域的整合促使当局采用分布式无人机交通管理(UTM)架构,以确保互操作性和安全性。区块链被提出作为UTM利益相关者之间可信协调的使能器。然而,其在航空约束下的实时性能仍缺乏充分表征。本文提出了一种定量基准,比较两种符合规定的分布式架构:由Linux基金会维护的联邦InterUSS平台和基于Hyperledger Fabric的许可区块链。通过Hyperledger Caliper生成的操作意图参考(OIR)注册工作负载对两个系统进行了评估,测量了在每秒最多50笔交易负载下的吞吐量、延迟和交易损失。结果表明,InterUSS保持了亚秒级延迟和稳定性能,最高可达30 TPS。同时,Fabric在中位延迟超过3秒且尾延迟超过15秒的情况下表现出指数级退化。这些发现表明,基于区块链的架构必须重新设计以满足航空定时和可扩展性要求,表明结合分布式账本用于可追溯性和联邦框架用于实时协调的混合模型更适合未来的UTM部署。(预印本;同行评审状态请核对原文。)
城市空中交通(UAM)提供了一种变革性的方法来解决城市拥堵、提高可及性和推进环境可持续性。自2020年以来,三个紧密相关的领域取得了快速进展:(1)通信,动态频谱分配和低空信道特征支持可靠的空地数据交换;(2)UAM管理,提出了针对密集、主要自主城市空域的新空交通控制概念;(3)可持续性,由高效推进、集成充电基础设施和整体环境评估驱动。本文回顾并综合了这些领域的最新研究,比较了最先进的解决方案,并概述了实现可扩展、可持续UAM生态系统的关键技术和基础设施里程碑。(预印本;同行评审状态请核对原文。)
中港台 发布 : 13 Oct 2025 21:16 更新 : 13 Oct 2025 21:17 Set 8world 为您的首选来源,Google 搜索功能提升。 点选设定,提升 Google搜索功能。 中国小鹏汇天飞行汽车“陆地航母”迪拜首飞。(图:法新社/Giuseppe CACACE) 新功能! 听新闻,按这里! 我要听,按这里! 中国新能源汽车品牌小鹏汽车控股的小鹏汇天飞行汽车“陆地航母”,星期天(12日)在迪拜完成海外首次有人驾驶公开飞行,同时和中东多国签订600台订购协议。 据中国日报报道,小鹏汇天也和阿联酋Ali & Sons集团、卡塔尔Almana集团、科威特AlSayer集团及阿联酋中华工商总会,共同签订首批600台飞行汽车订购协议,创下中国飞行汽车海外最大批量订单纪录。 这批订单将于2027年交付。 迪拜王室成员体验“陆地航母”飞行器。
易车讯 10月12日,小鹏汇天在迪拜举办“陆地航母”首场国际品鉴会,最新一代产品分体式飞行汽车“陆地航母”完成海外首次有人驾驶公开飞行演示,正式开启全球化之路。同时,小鹏汇天与阿联酋Ali & Sons集团、卡塔尔Almana集团、科威特AlSayer集团和阿联酋中华工商总会签订中东地区首批600台飞行汽车订购协议,创下该领域海外最大批量订购纪录。 发布国际(披露日:2025-10-12)