Hybrid optimisation for coordinating autonomous trucks and drones

用于协调自动卡车和无人机的混合优化

• 批准号: DE240100042
• 负责人: Dr Edward Lam
• 金额: $ 23.49万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE240100042
• 关键词: Hybrid; optimisation; coordinating; autonomous; trucks

This project aims to build analytics for controlling a fleet of autonomous trucks and drones working in tandem to deliver retail goods and disaster relief. This project expects to develop new mathematical and artificial intelligence algorithms for routing and scheduling the vehicles and for directing the multi-modal transfer of goods between vehicles in real-time as traffic conditions change. Expected outcomes of this project include new theories and technologies that enable a central computer to remotely control the autonomous fleet for maximum efficiency. Benefits in transport and logistics include improved freight productivity through reducing costs and delivery times.

该项目旨在建立分析，以控制一队自动驾驶卡车和无人机协同工作，以提供零售商品和救灾。该项目预计将开发新的数学和人工智能算法，用于车辆的路由和调度，以及随着交通状况的变化实时指导车辆之间的货物多式联运。该项目的预期成果包括新的理论和技术，使中央计算机能够远程控制自主车队，以实现最大效率。运输和物流的好处包括通过降低成本和缩短交货时间提高货运生产率。