ISSN :2582-9793

Dialogue Possibilities between a Human Supervisor and UAM Air Traffic Management: Route Alteration

Original Research (Published On: 30-Aug-2023 )
Dialogue Possibilities between a Human Supervisor and UAM Air Traffic Management: Route Alteration
DOI : 10.54364/AAIML.2023.1180

Kangjin Kim and Kangjin Kim

Adv. Artif. Intell. Mach. Learn., 3 (3):1352-368

Kangjin Kim : Department of Drone Systems, Chodang University, Jeollanam-do, Korea

Kangjin Kim : Chodang University

Download PDF Here

DOI: 10.54364/AAIML.2023.1180

Article History: Received on: 11-Jun-23, Accepted on: 23-Aug-23, Published on: 30-Aug-23

Corresponding Author: Kangjin Kim

Email: kangjinkim@cdu.ac.kr

Citation: Jeongseok Kim (2023). Dialogue Possibilities between a Human Supervisor and UAM Air Traffic Management: Route Alteration. Adv. Artif. Intell. Mach. Learn., 3 (3 ):1352-368


Abstract

    

This paper introduces a novel approach to detour management in Urban Air Traffic Management (UATM) using knowledge representation and reasoning. It aims to under- stand the complexities and requirements of UAM detours, enabling a method that quickly identifies safe and efficient routes in a carefully sampled environment. This method implemented in Answer Set Programming uses non-monotonic reasoning and a two-phase conversation between a human manager and the UATM system, considering factors like safety and potential impacts. The robustness and efficacy of the proposed method were validated through several queries from two simulation scenarios, contributing to the symbiosis of human knowledge and advanced AI techniques. The paper provides an introduction, citing relevant studies, problem formulation, solution, discussions, and concluding comments. 

Statistics

   Article View: 582
   PDF Downloaded: 26