The large public interest in Advanced Air Mobility (AAM) will soon lead to congested skies overhead cities, analogously to what happened with other transportation means, including commercial aviation. In the latter case, the combination of large distances and demanded number flights is such that a system with centralized control, with most of the decisions made by human operators, is safe. However, for AAM, it is expected a much higher demand, because it will be used for people's daily commutes. Thus, higher automation levels will become a requirement for coordinating this traffic, which might not be effectively managed by humans. The establishment of fixed air routes can abate complexity, however at the cost of limiting capacity and decreasing efficiency. Another alternative is the use of a powerful central system based on Artificial Intelligence (AI), which would allow flexible trajectories and higher efficiency. However, such system would require concentrated investment, could contain Single-Points-of-Failure (SPoFs), would be a highly sought target of malicious attacks, and would be subject to periods of unavailability. This work proposes a new technology that solves the problem of managing the high complexity of the AAM traffic with a secure distributed approach, without the need for a proprietary centralized automation system. This technology enables distributed airspace allocation management and conflict resolution by means of trusted shared data structures and associated smart contracts running on a blockchain ecosystem. This way, it greatly reduces the risk of system outages due to SPoFs, by allowing peer-to-peer conflict resolution, and being more resilient to failures in the ground communication infrastructure. Furthermore, it provides priority-based balancing mechanisms that help to regulate fairness among participants in the utilization of the airspace.
翻译:公众对于高级航空流动(AAM)的极大兴趣不久将导致高空空中交通(AAM)的繁忙,这类似于其他运输工具,包括商业航空在内所发生的情况。在后一种情况下,远距离和需要次数飞行的结合使得一个集中控制的系统十分安全,其多数决定由人类操作者作出。然而,对AAM来说,预计这种系统的需求会大得多,因为它将用于人们的日常通勤。因此,更高的自动化水平将成为协调这种交通的一个要求,而这种交通可能不是人类有效管理的。建立固定航空线路可以降低复杂性,但代价是降低能力和效率。另一种办法是使用基于人工智能智能情报(AI)的强大中央系统,这样可以允许灵活的轨迹和更高的效率。然而,对于AAM系统来说,这种系统需要集中投资,因为它将管理单一点(SPoFs)用于规范人们的日常通勤交通。因此,基于恶意袭击的目标,而且可能无法在人类之间进行有效管理。建立固定的航空线路可以降低复杂性,然而,这项工作提出新的技术可以解决在管理高端自动化基础设施的系统上减少风险。AAM交通流流流路路路路路的传播方式,从而使得它能够安全地分配。