Computational Rationality for Distributed Airborne Delivery Agents

分布式机载交付代理的计算合理性

• 批准号: 75977
• 金额: $ 45.61万
• 依托单位: CITY SCIENCE CORPORATION LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=75977
• 关键词: Computational; Rationality; Distributed; Airborne; Delivery

This project develops a system to integrate distributed airbourne delivery vehicles into an end-to-end customer delivery proposition. By doing this we will develop and demonstrate a detailed commercial aviation system model and AI capability building on the Alan Turing Institute's BlueBird family of avaition simulation tools. Our solution will be developed to accomodate fully electric and autonomous Unmanned Aerial Vehicles (UAVs) with a specific focus on deliveries.Our solution will build on consortium expertise within "Systemised Airspace Design" (SAD) to understand and evaluate future pre-set "three-dimensional networks" in the sky through which UAVs are expected to operate safely within urban environments. The system will combine future airbourne network representations with comprehensive multi-modal ground-based freight networks to provide optimal routing schedules across the full spectrum of future electric and sustainable delivery modes. As a result, the project will address the integration challenges of new air vehicles into both the aviation system and wider freight & logistics sector.With a focus on deliveries, the project will explore both optimal network designs and operational routing across these future networks. Using a multitude of simulations, accomodating the sizing and weight characteristics of deliveries and the operational performance constraints of UAVs we will create a system that can optimise deliveries considering the following factors:* Operational Cost* Time to serve (customers)* Energy Use (by fuel type and electrical network need)* Carbon Emissions and* Air Quality.As such the solution will be able to inform approaches to sustainable aviation and critical infrastructure gaps required to ensure sufficient renewable energy infrastructure to power these future systems. Detailed models of operational performance will also help explore new business models in sustainable logistics.

该项目开发了一个系统，将分布式空中交付车辆集成到端到端的客户交付方案中。通过这样做，我们将在艾伦图灵研究所的蓝鸟系列航空仿真工具上开发和演示详细的商用航空系统模型和人工智能能力建设。我们的解决方案将适应全电动和自主无人驾驶飞行器（uav），并特别关注交付。我们的解决方案将建立在“系统化空域设计”（SAD）的联盟专业知识基础上，以理解和评估未来预先设置的空中“三维网络”，通过该网络，无人机有望在城市环境中安全运行。该系统将把未来的空中网络表示与全面的多模式地面货运网络相结合，为未来电动和可持续交付模式的全频谱提供最佳的路线安排。因此，该项目将解决新飞行器融入航空系统和更广泛的货运和物流领域的挑战。随着交付的重点，该项目将探索这些未来网络的最佳网络设计和操作路由。使用大量的模拟，适应交付的尺寸和重量特性以及无人机的操作性能限制，我们将创建一个可以考虑以下因素优化交付的系统：*运营成本*服务（客户）时间*能源使用（按燃料类型和电网需求）*碳排放和*空气质量。因此，该解决方案将能够为可持续航空和关键基础设施缺口提供信息，以确保有足够的可再生能源基础设施为这些未来系统提供动力。详细的运营绩效模型也将有助于探索可持续物流的新业务模式。