SBIR Phase I: Vianair Airspace Information Model For Airspace Design And Planning

这个小型企业创新研究(SBIR)第一阶段项目的更广泛影响/商业潜力将来自于提高空中交通运营的效率和释放跑道和空域容量利用率，从而减少排放、噪音影响、航班延误和机场和航空公司的运营成本。随着城市大都市区的发展和空中交通的增加，机场及其周围空域的容量限制导致了日常延误，这种延误蔓延到整个国家空域系统，影响到现代社会中的几乎每个人，对经济、环境和机场周边社区造成了负面影响。拟议的创新将使美国和世界各地的机场当局、航空公司和空中导航服务提供商能够更有效地规划、设计和管理空域和机场系统，促进利益相关者之间的无缝信息共享，最终实现空中交通管理系统向未来的过渡，并为出行公众和当地社区带来重大好处。这个小型企业创新研究(SBIR)第一阶段项目将开发首个此类空域信息模型(AIM)，这是一个用于空域和机场系统规划和设计的专用软件平台。目前，机场当局、航空公司和空中导航服务提供商使用大量工具进行空域和机场系统的设计、规划和性能评估。然而，现有的工具只能孤立地处理操作的特定方面，不能正确地评估系统设计组件之间的相互作用以及不同性能目标之间的权衡。因此，系统性能不是最优的。拟议的AIM平台将设计、性能评估和优化功能结合在一个参数模型中，从整体角度解决空域设计和规划过程。它还使立即评估所有性能权衡成为可能，同时考虑到设计规则和标准。此外，SBIR还提出了动态路线概念(DRC)的开发，并将其集成到AIM平台中，这是一种新的空域设计优化方法，可以自动将空域设计配置与动态空中交通需求相匹配，从而实现战术前决策和最佳系统性能。这项提议的技术有可能成为行业标准。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will result from improving the efficiency of air traffic operations and unlocking runway and airspace capacity utilization, thus enabling reduction of emissions, noise impact, flight delays, and operational cost of airports and airlines. As urban metropolitan areas have grown and air traffic has increased, capacity constraints at airports and their surrounding airspace result in daily delays, which propagate throughout the entire National Airspace System affecting almost every person in modern society with negative impact on the economy, the environment, and airport neighboring communities. The proposed innovation will enable airport authorities, airlines and air navigation service providers in the US and worldwide to more efficiently plan, design and manage airspace and airports systems, facilitating the seamless sharing of information between stakeholders, ultimately enabling the transition of the air traffic management system into the future and resulting in significant benefits for the traveling public and the local communities.This Small Business Innovation Research (SBIR) Phase I project will develop the first-of-its-kind Airspace Information Model (AIM), a dedicated software platform for airspace and airport system planning and design. Currently, airport authorities, airlines and the air navigation service providers use a plethora of tools for airspace and airport system design, planning and performance evaluation. However, existing tools only cater for specific aspects of the operation in isolation and fail to properly evaluate the interactions between system design components and the trade-offs between different performance objectives. As a result, system performance is sub-optimal. The proposed AIM platform combines the functions of Design, Performance Evaluation and Optimization in a single parametric model addressing the airspace design and planning process from a holistic perspective. It also makes an immediate evaluation of all performance trade-offs possible, while accounting for design rules and criteria. Furthermore, this SBIR proposes the development and integration into the AIM platform of the Dynamic Route Concept (DRC), a novel airspace design optimization method that automatically matches airspace design configuration to dynamic air traffic demand, thus enabling pre-tactical decision-making and optimal system performance. The proposed technology has the potential to become the industry-wide standard.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.