no code implementations • 1 Jan 2024 • Zhenyu Gao, Yue Yu, Qinshuang Wei, Ufuk Topcu, John-Paul Clarke
Urban air mobility (UAM), a transformative concept for the transport of passengers and cargo, faces several integration challenges in complex urban environments.
1 code implementation • 26 Aug 2023 • Gongjin Lan, Zhenyu Gao, Lingyao Tong, Ting Liu
In this paper, we apply class binarization techniques to a neuroevolution algorithm, NeuroEvolution of Augmenting Topologies (NEAT), that is used to generate neural networks for multiclass classification.
no code implementations • 24 Jun 2023 • Zhenyu Gao, Dimitri N. Mavris
Accurate modeling of aircraft environmental impact is pivotal to the design of operational procedures and policies to mitigate negative aviation environmental impact.
1 code implementation • 8 Jun 2023 • Qinshuang Wei, Zhenyu Gao, John-Paul Clarke, Ufuk Topcu
In our methodology, we first model how disruptions to a given UAM network might impact on the nominal traffic flow and how this flow might be re-accommodated on an extended network with reserve capacity.
1 code implementation • 29 Oct 2020 • Jiunhan Chen, Zhenyu Gao
In such a framework, users only need to focus on algorithms without being worried about the detail of manipulating robots in both simulation and the real world.