Redirigiendo al acceso original de articulo en 20 segundos...
Inicio  /  Aerospace  /  Vol: 7 Par: 5 (2020)  /  Artículo
ARTÍCULO
TITULO

A Collaborative Approach for an Integrated Modeling of Urban Air Transportation Systems

Malte Niklaß    
Niclas Dzikus    
Majed Swaid    
Jan Berling    
Benjamin Lührs    
Alexander Lau    
Ivan Terekhov and Volker Gollnick    

Resumen

The current push in automation, communication, and electrical energy storage technologies has the potential to lift urban mobility into the sky. As several urban air mobility (UAM) concepts are conceivable, all relevant physical effects as well as mutual interrelations of the UAM system have to be addressed and evaluated at a sufficient level of fidelity before implementation. Therefore, a collaborative system of systems modeling approach for UAM is presented. To quickly identify physical effects and cross-disciplinary influences of UAM, a pool of low-fidelity physical analysis components is developed and integrated into the Remote Component Environment (RCE) workflow engine. This includes, i. a., the disciplines of demand forecast, trajectory, vertiport, and cost modeling as well as air traffic flow and capacity management. The definition and clarification of technical interfaces require intensive cooperation between specialists with different areas of expertise. To reduce this communication effort, the Common Parametric Aircraft Configuration Schema (CPACS) is adapted and used as central data exchange format. The UAM system module is initially applied for a 24-hour simulation of three generic networks in Hamburg City. After understanding the basic system-level behavior, higher level analysis components and feedback loops must be integrated in the UAM system module for evaluation and optimization of explicit operating concepts.

 Artículos similares

       
 
Jing Kai Sim, Kaichao William Xu, Yuyang Jin, Zhi Yu Lee, Yi Jie Teo, Pallavi Mohan, Lihui Huang, Yuan Xie, Siyi Li, Nanying Liang, Qi Cao, Simon See, Ingrid Winkler and Yiyu Cai    
An up-and-coming concept that seeks to transform how students learn about and study complex systems, as well as how industrial workers are trained, metaverse technology is characterized in this context by its use in virtual simulation and analysis. In th... ver más
Revista: Applied Sciences

 
Satoshi Warita and Katsuhide Fujita    
Recently, multi-agent systems have become widespread as essential technologies for various practical problems. An essential problem in multi-agent systems is collaborative automating picking and delivery operations in warehouses. The warehouse commission... ver más
Revista: Information

 
Malinka Ivanova, Gabriela Grosseck and Carmen Holotescu    
The penetration of intelligent applications in education is rapidly increasing, posing a number of questions of a different nature to the educational community. This paper is coming to analyze and outline the influence of artificial intelligence (AI) on ... ver más
Revista: Informatics

 
Alya Alshammari and Khalil El Hindi    
The combination of collaborative deep learning and Cyber-Physical Systems (CPSs) has the potential to improve decision-making, adaptability, and efficiency in dynamic and distributed environments. However, it brings privacy, communication, and resource r... ver más
Revista: Applied Sciences

 
Piotr Sliz    
Purpose: The advancements in deep learning and AI technologies have led to the development of such language models, in 2022, as OpenAI?s ChatGPT. The primary objective of this paper is to thoroughly examine the capabilities of ChatGPT within the realm of... ver más