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.

Small World Aviation希望开发一个人工智能驱动的航空公司优化模型，以增强和优化其航班规划和分析。该项目侧重于利用人工智能驱动的数据分析来预测、规划和优化其目前拟议的19座以下航空公司运营，以期在未来几年内使用电动垂直起降（eVTOL）飞机或类似飞机。最初在苏格兰高地和岛屿运营。我们将识别和综合数据源，并研究将其用于优化航空公司整体运营的可行性。该项目具有创新性，因为它可以实时定位和分析数据，查看比当前系统更多的数据点，并将其转化为基于人工智能的自动化工作流程。该系统将是世界上第一个推出的同类系统，将成为英国和全球先进空中机动性领域的重要组成部分。与爱丁堡纳皮耶大学的专业知识合作，为英国和其他地区的运输和物流提供基于人工智能算法的出色商业应用。