Optimising Air Transport Route & Demand Planning Using AI Powered Data Analysis

优化航空运输路线

• 批准号: 10079293
• 金额: $ 6.35万
• 依托单位: SMALL WORLD AVIATION GROUP LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10079293
• 关键词: Optimising; Air; Transport; Route; Demand

Small World Aviation wants to develop an AI-powered Airline Optimisation Model to enhance and optimise its flight planning and analysis.This project focuses on utilising AI-driven data analysis for prediction, planning, and optimisation of its proposed sub-19-seat airline operation today with a view to the future utilisation of electric vertical take-off and landing (eVTOL) aircraft or similar in the coming years, initially operating in the Highlands and Islands of Scotland. We will identify and synthesise data sources and investigate the feasibility of them being used to optimise the overall airline operation.The project is innovative because it can locate and analyse data in real-time, looking at many more data points than today's systems and turning it into an automated, AI-based work stream. This system will be the first of its kind to be launched in the world and will form a crucial part of the Advanced Air Mobility sector in the UK and worldwide.Teaming up with the expertise at Edinburgh Napier University offers an outstanding commercially focussed implementation of AI-based algorithms for transport and logistics in the UK and beyond.

小世界航空想要开发一个由AI驱动的航空优化模型，以增强和优化其飞行计划和分析。该项目着重于利用AI驱动的数据分析来预测，计划和优化其拟议的Sub-19座座位航空公司的航空公司运营，以期在未来的垂直起飞和着陆（EVTOL）的未来运营或相似的岛屿上，以未来的电力垂直起飞和着陆（EVTOL）的运营方式，并在较高的岛屿上进行了类似的运行。我们将识别和综合数据源，并调查用于优化整体航空公司运营的可行性。该项目具有创新性，因为它可以实时定位和分析数据，查看比当今系统的数据点更多的数据，并将其转换为基于AI的自动化，基于AI的工作流。该系统将是第一个在世界上推出的系统，并将成为英国高级空气流动部门和全球范围内的重要组成部分。与爱丁堡纳皮尔大学的专业知识相关联，该专业知识可为基于AI的基于AI的运输算法提供了出色的商业性实施，用于英国和超越英国的运输和物流。