PhD Forum: Sustainable Route Planning and Efficient Computation Offloading in Urban Air Mobility

被引:0
|
作者
Sengupta, Debjyoti [1 ]
机构
[1] Missouri Univ Sci & Technol, Dept Comp Sci, Rolla, MO 65409 USA
来源
2024 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING, SMARTCOMP 2024 | 2024年
关键词
Urban air mobility; vertical take-off and landing vehicles; dynamic route-planning; path optimization; solar energy; computational offloading;
D O I
10.1109/SMARTCOMP61445.2024.00060
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Urban Air Mobility (UAM) encompasses both piloted and autonomous aerial vehicles, spanning from small unmanned aerial vehicles (UAVs) like drones to passenger-carrying personal air vehicles (PAVs), to revolutionize smart transportation in congested urban areas. A pivotal concern is the sustainability of switching to this transportation mode since clean technology is essential when designing new solutions from the ground up. Recent studies indicate that a major contributor to the total energy consumed in UAM is the flight operation of the aircraft itself. This paper presents a novel approach to meet the energy needs of [JAM flights by exploring a dynamic route-planning problem that harnesses solar energy en route, thereby making this new transport mode eco-friendly. Some results and preliminary analysis are presented to highlight the utility of the scheme. Other areas of implementing UAM from a computational perspective are mentioned briefly as a roadmap for future work.
引用
收藏
页码:254 / 255
页数:2
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