跳到正文

全部动态

今日 0 条

研发设计收录论文、预印本和会议论文；标题保留原文，预印本与设计目标请核对原文。未经过编辑判断的资料展示在全部动态中。

VFS历届eVTOL研讨会与论坛 ↗VFS Forum82论文目录 ↗技术报告与参考资料 ↗
7月20日周一
  1. Crossref eVTOL期刊论文索引历史资料

    Experimental and computational aeroacoustic and aerodynamic evaluations of five eVTOL propeller blades

    Drones generate significant noise during their operation, limiting their usage in noise-sensitive environments. This study compared four pairs of eVTOL propeller blade designs from Texas High Energy Materials, LLC against a commercial baseline to reduce noise while maintaining aerodynamic efficiency. Experimental measurements and computational simulations were used to evaluate the aeroacoustic and aerodynamic performances. Experimental data was processed to obtain spatially averaged auto-spectra and overall sound pressure levels. It wasshown that one of the proprietary blades presented the quietest overall noise level, generating an overall 14.9 dBA noise reduction compared to the commercial blades with an overall level of 80.8 dBA. Comparisons between measured and simulated data showed a 3.4 - 8.8 dBA difference, with computational models consistently underpredicting dominant noise peaks at blade passing frequencies. Although these computational models are useful in optimizing the designs where relative performance improvements are only important, the dBA difference can be reduced through improved finite element mesh quality in future simulations. Aerodynamic predictions indicated that the quietest blade design was the most energy-efficient, producing the highest average lift-to-power ratio of 0.95 N/W. Finally, experimental Nearfield Acoustic Holography results suggest that simple rotating monopole models can be used to represent the propeller noise effectively.

  2. Crossref eVTOL期刊论文索引历史资料

    Experimental and computational aeroacoustic and aerodynamic evaluations of five eVTOL propeller blades

    Drones generate significant noise during their operation, limiting their usage in noise-sensitive environments. This study compared four pairs of eVTOL propeller blade designs from Texas High Energy Materials, LLC against a commercial baseline to reduce noise while maintaining aerodynamic efficiency. Experimental measurements and computational simulations were used to evaluate the aeroacoustic and aerodynamic performances. Experimental data was processed to obtain spatially averaged auto-spectra and overall sound pressure levels. It was shown that one of the proprietary blades presented the quietest overall noise level, generating an overall 14.9 dBA noise reduction compared to the commercial blades with an overall level of 80.8 dBA. Comparisons between measured and simulated data showed a 3.4 - 8.8 dBA difference, with computational models consistently underpredicting dominant noise peaks at blade passing frequencies. Although these computational models are useful in optimizing the designs where relative performance improvements are only important, the dBA difference can be reduced through improved finite element mesh quality in future simulations. Aerodynamic predictions indicated that the quietest blade design was the most energy-efficient, producing the highest average lift-to-power ratio of 0.95 N/W. Finally, experimental Nearfield Acoustic Holography results suggest that simple rotating monopole models can be used to represent the propeller noise effectively.

  3. Crossref eVTOL期刊论文索引历史资料

    Propeller Noise Study for eVTOL Interior Noise Using Equivalent Acoustic Source Model

    Propeller-driven propulsion systems are receiving renewed attention in aviation with emerging electric propulsion concepts. This creates a growing need for predictive tools to assess its impact on vehicle vibro-acoustic performance. However, directly coupling high-fidelity aeroacoustic simulations with detailed acoustic and structural models can become computationally impractical for engineering studies. This paper explores a workflow in which aeroacoustic sources are represented using the Equivalent Source Method (ESM) and coupled with vibro-acoustic models to estimate interior cabin noise of an electric vertical takeoff and landing (eVTOL) aircraft. A propeller configuration representative of such systems is simulated using compressible transient CFD, with far-field acoustic pressure obtained through the Ffowcs Williams-Hawkings (FW-H) analogy. An equivalent compact acoustic source representation of the propeller is then generated and used within a Boundary Element Method (BEM) acoustic model with a hierarchical solver to compute surface pressure fields on the aircraft. These pressure fields are idealized as acoustically diffuse in order to excite exterior panels in a Statistical Energy Analysis (SEA) model for interior cabin noise estimation. Results for the eVTOL examine how different methods can be used the predict interior acoustic response from mutual propellers.

7月17日周五
  1. arXiv先进空中交通研究历史资料

    Obstacle-Aware Four-Dimensional Trajectory Design for Urban Air Mobility

    Urban Air Mobility (UAM) with electric Vertical TakeOff and Landing (eVTOL) vehicles can help address ground traffic congestion. The design of an eVTOL trajectory that is safe and reduces travel time is key for UAM adoption. Existing works on trajectory design either may not adequately incorporate dense obstacles in urban environments, complex eVTOL flight dynamics, or one or more flight phases. Not considering these factors can result in low-quality, or worse infeasible, trajectories. We develop a hybrid framework that can integrate building obstacles data, wind data, eVTOL flight dynamics, and other real-world operational constraints to estimate a four-dimensional eVTOL flight trajectory in ascent, cruise, and descent that aims to minimize travel time. Our framework first fills the obstacle-free regions with intersecting convex polygons, then identifies potentially low-travel time candidate sequences of these polygons using a Graph of Convex Sets-based path planner, and then uses an Optimal Control Program to give the final trajectory that passes through the polygons in a sequence identified before. We evaluate our framework on routes within New York City. Our framework can design trajectories respecting the above constraints in the presence of as many as 250 building obstacles. We show that not including the above constraints can underestimate the flight time by as much as 20\%.（预印本；同行评审状态请核对原文。）

7月16日周四
7月14日周二
  1. arXiv先进空中交通研究历史资料

    Conflict Resolution under Degraded Surveillance in Air Corridors Using Multi-Agent Reinforcement Learning

    Safe Advanced Air Mobility operations require aircraft to maintain separation when surveillance information is noisy, delayed, incomplete, or temporarily unavailable. This study develops a Deep Q-Network-based Multi-Agent Reinforcement Learning framework for decentralized conflict resolution among heterogeneous small unmanned aerial vehicles and electric vertical takeoff and landing aircraft operating within a structured three-dimensional corridor. Separate policies are trained for the two aircraft categories using local observations and a 14-action space that includes maintaining course, turning, vertical maneuvering, landing, and speed control. The simulation incorporates aircraft-specific dynamics, energy use, corridor constraints, observation noise, communication delay, information dropout, wind disturbance, actuator uncertainty, and model uncertainty. The trained policies are evaluated across 90 combinations of traffic density and minimum separation thresholds. Loss-of-separation frequency and duration generally increase with traffic density and separation requirements, although most events are resolved within 1s. Under safe conditions, agents maintain their motion approximately 79% of the time. During conflicts, turning accounts for 33% of actions, followed by maintaining motion at 29%, speed control at 25%, and vertical maneuvers at 13%. Six Pareto-optimal configurations reveal trade-offs between safety and corridor capacity. The framework supports the simulation-based evaluation of safer AAM conflict-resolution strategies under degraded surveillance conditions.（预印本；同行评审状态请核对原文。）

7月8日周三
  1. arXiv eVTOL预印本历史资料

    End-to-End LLM Flight Planning with RAG-based Memory and Multi-modal Coach Agent

    Bridging the gap between human pilot intent and autonomous flight operation is critical for real-world electric vertical takeoff and landing (eVTOL) aircraft deployment. Flight planning traditionally relies on classic algorithms that struggle to incorporate flexible human preferences. We present FRAMe, an End-to-End Large Language Model (LLM) Flight Planning tool with RAG-based Memory and Multi-modal Coach Agent. Our system integrates a planner LLM with a multi-modal coach agent and retrieval augmented generation (RAG)-based memory to generate flight plans that satisfy mission constraints while aligning with human flight operator preferences. We demonstrate the system in a range of real-world-inspired scenarios of varying difficulty levels. Across four LLMs, the full FRAMe system (RAG and coach) yields the highest validity for every planner (up to 93.8% aggregate, 99% on Easy scenarios for the strongest planner) and shifts preference-relevant metrics in the operator-favored direction where the metric has headroom. FRAMe signifies how advanced LLMs can be deployed for human-centric mission planning, translating natural language instructions into safe, efficient, and flexible flight routes. The code is available at: github.com/amin-tabrizian/FlightPlanningLLMs（预印本；同行评审状态请核对原文。）

7月6日周一
  1. arXiv先进空中交通研究历史资料

    U3DWind: A Low Altitude Wind Field Dataset and Benchmark for Urban Air Mobility

    Urban Air Mobility (UAM) requires reliable assessment of low-altitude wind hazards, because winds, gusts, and building-induced turbulence have been recognized as critical factors affecting vehicle stability, route feasibility, vertiport siting, and airspace management. While wind-tunnel experiments, computational fluid dynamics (CFD), multiscale downscaling, reduced-order models, and UAV planning datasets have advanced wind-aware analysis, public resources for data-driven, city-scale UAM planning remain limited in geographic coverage, scenario diversity, vertical extent, building realism, and task-oriented benchmarking. To address this gap, we introduce U3DWind, a building-resolved low-altitude wind-field dataset generated using our GPU-accelerated Lattice Boltzmann Method--Large-Eddy Simulation (LBM-LES) framework for rapid urban flow simulation. U3DWind covers five megacities in China: Beijing, Shanghai, Guangzhou, Shenzhen, and Hong Kong. It contains 720 simulations, with 16 inflow directions, three reference wind speeds, and three seasonal atmospheric scenarios (annual, summer, and winter) for each city. At a 10 m grid resolution, the dataset provides three-dimensional three-component (3D3C) velocity, turbulent kinetic energy (TKE), flow density, and fluid--solid masks. To support operationally relevant evaluation, we further define five baseline tasks: wind-field prediction, sparse-sensor wind-field reconstruction, site wind-exposure ranking, airworthiness wind-compliance risk scoring, and noise propagation modeling. As a multi-city, building-resolved 3D urban wind-fie（预印本；同行评审状态请核对原文。）

7月4日周六
  1. arXiv先进空中交通研究历史资料

    Congestion Games with Heterogeneous Valuations: An Optimal Transport Approach

    In emerging urban mobility and logistics applications, such as advanced air mobility, electric vehicle charging, and shared service systems, agents with heterogeneous valuations choose among multiple destinations while sharing congested network resources. However, existing congestion game and resource allocation models do not simultaneously capture heterogeneous destination preferences and aggregate congestion externalities. We introduce a new nonatomic congestion game framework in which agents are endowed with heterogeneous destination valuations modeled by a measure space. We characterize Nash equilibria and social optima in this setting and show that both admit finite-dimensional representations in terms of threshold vectors and dual potentials. These structures induce a partition of the valuation space that determines agents' destination choices. Our analysis leverages Kantorovich duality from optimal transport theory and provides a new geometric perspective on congestion games with heterogeneous valuations.（预印本；同行评审状态请核对原文。）

7月3日周五
  1. Crossref eVTOL期刊论文索引历史资料

    A Scenario-Based Continuous-Time Markov Framework for Preliminary Safety Screening of eVTOL Operations Under Climate, Battery, Power-Supply and Diagnostic Uncertainty

    This study examines the development of urban air mobility, which requires the creation of vertiports capable of ensuring the safe operation of electric vertical takeoff and landing (eVTOL) systems. Key operational constraints include unstable power supply, external climatic conditions, and reliance on battery systems. This study aims to develop a risk-based model for vertiport planning those accounts for the stochastic nature of eVTOL operational safety. A continuous-time Markov model incorporating nominal operational characteristics, system constraints, and transitions into emergency and catastrophic flight modes is proposed. State transitions within the model are primarily driven by climatic indicators, power supply reliability, battery parameters, maintenance quality, and diagnostic coverage. To interpret the low probabilities of transitioning to a catastrophic mode, this study introduces a safety index (integrated safety index), which facilitates the comparison of various operational scenarios and regulatory maturity levels. The practical importance of the research lies in applying the proposed model to precisely select vertiport locations; assess energy infrastructure requirements; and organize onboard monitoring, robotic preflight inspection systems, and decision support systems. The results demonstrate that eVTOL operational safety is assessed not only through spatial and infrastructure metrics but also through an integrated indicator encompassing power supply, climate, battery degradation, diagnostics, and hardware–software reliability of the entire vertiport system

7月1日周三
  2. Crossref eVTOL期刊论文索引历史资料

    A hybrid evaluation framework for eVTOL deployment in the low-altitude economy: usability, risk, and strategic implications

    Abstract Amid the rapid global emergence of the low-altitude economy (LAE), electric vertical take-off and landing (eVTOL) aircraft, recognized as a key technology for urban air mobility (UAM), face multifaceted challenges in terms of usability and risk evaluation. Existing assessment approaches are generally limited by their inadequate capacity to handle uncertainty, insufficient identification of causal relationships, and fragmented indicator systems, thus hindering comprehensive decision support for eVTOL deployment. To address these issues, this study proposes a multi-stage hybrid multi-criteria decision-making (MCDM) framework that integrates neutrosophic fuzzy sets (NFS), the weighted influence non-linear gauge system (WINGS), and interpretive structural modeling (ISM). The framework first employs NFS to quantitatively represent experts’ uncertain cognitive evaluations, then applies the WINGS model to capture the non-linear interaction intensity and centrality among factors, and finally incorporates ISM to uncover multi-level causal pathways. This integrated approach enables a closed-loop decision support process encompassing evaluation, diagnosis, and optimization. An empirical analysis focusing on eVTOL applications in public service scenarios identifies critical structural barriers such as infrastructure development gaps, policy lag, and market adaptation challenges. Corresponding systematic optimization strategies are proposed. The results demonstrate that the proposed model exhibits strong robustness and interpretability in managing fuzzy information and modeling

6月23日周二
  1. arXiv先进空中交通研究历史资料

    Decentralized Coordination of Autonomous Traffic Through Advanced Air Mobility Corridors

    The use of dedicated corridors for Advanced Air Mobility (AAM) traffic is one of the most commonly proposed pathways to integrating them into existing airspace operations. Most prior research has focused on the design of networks of AAM corridors and conflict resolution for aircraft within corridors. It is also generally believed that while attractive from an implementation perspective, corridor-based operations may be inefficient, especially in the absence of centralized traffic management. In this paper, we show that contrary to this belief, it is possible for autonomous aircraft to learn to self-organize into corridor flows in decentralized settings. We illustrate our approach using scenarios in which fixed-wing aircraft need to safely and efficiently traverse (1) a single corridor with metering after the exit, (2) a sequence of two consecutive corridors, and (3) a corridor that splits into two. We find that in decentralized settings with only local information, the aircraft are able to conform to the corridor boundaries more than 94% of the time and reach their goal in a relatively efficient manner. Furthermore, tactical interventions to handle violations of the separation minimum are needed only infrequently in low- and medium-density settings. However, such tactical interventions become more frequently necessary only when traffic density is high.（预印本；同行评审状态请核对原文。）

  2. arXiv先进空中交通研究历史资料

    Decentralized Autonomous Traffic Management through Corridor Networks

    As autonomous aircraft are introduced at scale and traffic density increases, centralized management becomes insufficient to coordinate the large numbers of crewed and uncrewed aircraft. Dedicated Advanced Air Mobility (AAM) corridors have therefore been proposed for organizing high-density autonomous traffic flows. The desire to scalably provide autonomous aircraft flexibility in trajectory planning motivates the development of decentralized approaches to traffic management in AAM corridors. In this work, we extend a multi-agent reinforcement learning (MARL) approach to address the challenge of decentralized traffic flow management in air corridor networks. We test policies trained in a single-corridor setting on increasingly complex multi-corridor networks with combinations of merges and splits in a zero-shot manner. Experimental results demonstrate that learned behaviors transfer well to scenarios with varying traffic density, network geometry, and heterogeneous vehicle performance, without needing centralized coordination or model retraining. We evaluate system-level performance in terms of conformance to corridor boundaries, completion rates, average speeds, distance traveled, and maintenance of inter-aircraft separation. We find that although our policies require only locally coordinated entry, traversal, and exit behaviors, they collectively produce desirable traffic flows through the corridor network.（预印本；同行评审状态请核对原文。）

6月22日周一
  1. arXiv先进空中交通研究历史资料

    Scalable Online Flight Trajectory Optimization via Sequential Quadratic Programming for Urban Air Mobility in Ultra Low-Altitude Airspace

    As Urban Air Mobility (UAM) scales toward high-density operations, generating collision-free trajectories within complex 3D cityscapes is a critical safety requirement. This paper proposes a scalable Sequential Quadratic Programming (SQP) framework that integrates geometric environmental constraints, operational limits, and vehicle dynamics within a single online trajectory optimization process. Rather than precomputing obstacle-free corridors ahead of time, our method encodes obstacle avoidance as live separating-hyperplane constraints regenerated at every solver iteration, so that dense urban geometry and full-DOF vehicle dynamics are resolved jointly and online as the reference and environment evolve. A variable-scale quadtree decomposition keeps computation bounded, enabling the framework to scale to city-wide environments while preserving real-time performance for high-speed flight. We validate the framework against conventional SQP, Iterative Linear Quadratic Regulator, and Differential Dynamic Programming across flights in five real-world urban centers, attaining 100% success and clearance rates on CPU-only hardware.（预印本；同行评审状态请核对原文。）

6月19日周五
  1. arXiv先进空中交通研究历史资料

    Distance-based subsidy rate design to incentivize ride-hail access to advanced air mobility hubs

    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。）

6月18日周四
  1. arXiv先进空中交通研究历史资料

    From Sentiment to Actionable Insights: Public Sentiment Analysis of Advanced Air Mobility

    Advanced Air Mobility (AAM) is an emerging low-altitude transportation system whose successful deployment depends on both technological progress and public acceptance. Public acceptance can influence government support, regulations, noise standards, willingness to fly, and the commercial viability of AAM. Understanding public sentiment is therefore essential for identifying societal barriers and developing effective adoption strategies. This study analyzes 306,009 human-generated texts collected from Reddit and Quora to examine AAM-related public discourse using artificial intelligence models. Seven sentiment-analysis approaches, including lexicon-based, machine-learning, deep-learning, and transformer models, are evaluated to identify the most reliable method for AAM-specific sentiment classification. ModernBERT achieves the highest performance and is used to label the full dataset. Latent Dirichlet Allocation is then applied within each sentiment class to identify underlying topics and examine their temporal evolution from 2008 to 2025. The analysis identifies 20 topics and six major cross-sentiment clusters: workforce and skill development, regulation and compliance, drone technical performance, military and geopolitical applications, safety and operational risks, and noise and disturbance. These findings can help policymakers, industry stakeholders, researchers, and operators develop targeted regulations, safety measures, workforce programs, noise-reduction strategies, and public communication efforts to address concerns and support the responsible deployment of AAM.（预印本；同行评审状态请核对原文。）

6月13日周六
  1. arXiv先进空中交通研究历史资料

    An Analytical Methodology for Quantifying Airspace Conflict Rate and Complexity

    Air traffic growth, advanced air mobility, and increasingly autonomous operations are driving the need for scalable and adaptive airspace design methodologies. Central to this challenge is quantifying how traffic flow structure and demand, governed in part by airspace geometry, influence conflict generation and operational complexity. This paper presents an analytical framework for computing conflict rate and conflict probability in structured airspace using stochastic flow models. Traffic streams are modeled as renewal processes with prescribed inter-arrival time distributions, while interactions between flows are captured through geometry-dependent minimum spacing constraints at merges and crossings. Within this formulation, closed-form upper bounds on the expected conflict rate and conflict probability per aircraft are derived as functions of flow configuration and demand. These metrics are interpreted as complementary measures of airspace complexity, reflecting controller workload and per-aircraft operational risk. The methodology is applied to representative hexagonal cell geometries with varying routing structures and flow distributions. Results reveal non-monotonic tradeoffs between routing flexibility, capacity, and conflict generation, with intermediate flow configurations outperforming both highly constrained and highly distributed cases. The proposed framework provides a tractable tool for evaluating airspace design alternatives and complexity-informed traffic management strategies.（预印本；同行评审状态请核对原文。）

6月10日周三
6月8日周一
  2. arXiv先进空中交通研究历史资料

    Adaptive Model Predictive Control of Nonlinear Generic Urban Air Mobility Using Linear Parameter-Varying Systems

    This paper presents an adaptive model predictive control (MPC) framework for nonlinear urban air mobility (UAM) vehicles operating across the full flight envelope. The proposed approach leverages a linear parameter-varying (LPV) representation to update the predictive model online, enabling accurate capture of strongly nonlinear and time-varying dynamics associated with distributed electric propulsion (DEP) eVTOL aircraft. To systematically address the high-dimensional and coupled nature of MPC tuning, a multi-objective evolutionary optimization strategy based on NSGA-II is employed, incorporating proper normalization of states and control inputs to ensure balanced weighting and meaningful exploration of the design space. The resulting controller explicitly accounts for actuator constraints and enables reconfigurable control allocation for fault-tolerant operation. The framework is evaluated in nonlinear simulations using NASA's Generic Urban Air Mobility (GUAM) model and benchmarked against a robust servomechanism linear quadratic regulator (RSLQR). Results demonstrate that the proposed adaptive MPC achieves improved trajectory tracking and enhanced robustness under both nominal conditions and actuator degradation scenarios, including partial motor failure, while maintaining constraint satisfaction throughout all flight regimes.（预印本；同行评审状态请核对原文。）

6月4日周四
6月2日周二
  1. arXiv先进空中交通研究历史资料

    Corridor Design and Separation Definition in Advanced Air Mobility: Systematic Literature Review

    Advanced Air Mobility (AAM) uses electric vertical take-off and landing (eVTOL) vehicles to address urban congestion and emissions. However, corridor design, operation management, and separation standards remain underexamined for safe high-density operations. This paper applies the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to systematically review relevant literature from IEEE Xplore and Web of Science, focusing on publications from 2010 to 2024. A Context, Intervention, Mechanism, and Outcome (CIMO) framework guided the development of research questions. After screening 2,039 journal and conference papers, 62 articles met the inclusion criteria. The findings reveal a lack of integrated corridor design approaches, limited operational strategies, and reliance on standards originally designed for conventional aviation. A unified corridor design and separation definition frameworks and taxonomies are proposed to address these shortcomings, informing future investigations and operational frameworks for safe, efficient eVTOL operation deployment in urban settings.（预印本；同行评审状态请核对原文。）

5月31日周日