“…An SoS simulation framework presented in Figure 1 is utilized for this study, developed through past research of the authors [4] and extended in the accompanying work as part of the underlying proceedings [5]. The SoS simulation framework connects aircraft design methodologies with an agentbased simulation, each of these two main components are designed to be extendible where detailed analysis can be integrated within, such as but not limited to onboard system and powertrain sizing [6] into aircraft design, or detailed vertiport and trajectory simulations into the collaborative SoS simulation as part of the ongoing work in HorizonUAM.…”
Section: System Of Systems Simulation Frameworkmentioning
confidence: 99%
“…The assumed demand distributions per vertiport are presented therein, where the solid distributions indicate outflow demand distribution, and the hollow distributions represent the inflow demand distribution. For detailed explanations on the modelling of outflow and inflow curves and their use in the generation of the demand, the reader is directed to [4].…”
Section: Transport Network Parameters and Assumptionsmentioning
The concept of urban air mobility promises a modern air taxi transport solution providing on-demand air mobility and hence time savings compared to congested terrestrial transportation in major cities and metropolitan areas. To make it a reality, vehicles, infrastructure, services, and operations must be developed simultaneously and cross-linked. These interconnections and interactions of the multitude of systems involved necessitate a system of systems approach, which is accounted for and implemented through agent-based simulations. Accordingly, the system of systems simulation framework is tuned to vehicle architecture as well as fleet design and assessment, thus allows to expand the aircraft design process by fleet operations and transport network perspectives. In this paper, the top level aircraft requirements of electric vertical take-off and landing vehicles are investigated by a fleet-centric approach. Herein, two disparate configurations, i.e. multirotor and tiltrotor, are modelled to depict representative wingless and winged configurations. The optimal design points are found and traded off by formulating different measures of effectiveness accounting for conversion of passenger requests, fleet energy consumption, and vehicle load factor. In summary, this study demonstrates the need for system of systems simulations to derive market-and operations-tailored vehicles and fleets. Furthermore, work on heterogeneous fleet compositions is required.
“…An SoS simulation framework presented in Figure 1 is utilized for this study, developed through past research of the authors [4] and extended in the accompanying work as part of the underlying proceedings [5]. The SoS simulation framework connects aircraft design methodologies with an agentbased simulation, each of these two main components are designed to be extendible where detailed analysis can be integrated within, such as but not limited to onboard system and powertrain sizing [6] into aircraft design, or detailed vertiport and trajectory simulations into the collaborative SoS simulation as part of the ongoing work in HorizonUAM.…”
Section: System Of Systems Simulation Frameworkmentioning
confidence: 99%
“…The assumed demand distributions per vertiport are presented therein, where the solid distributions indicate outflow demand distribution, and the hollow distributions represent the inflow demand distribution. For detailed explanations on the modelling of outflow and inflow curves and their use in the generation of the demand, the reader is directed to [4].…”
Section: Transport Network Parameters and Assumptionsmentioning
The concept of urban air mobility promises a modern air taxi transport solution providing on-demand air mobility and hence time savings compared to congested terrestrial transportation in major cities and metropolitan areas. To make it a reality, vehicles, infrastructure, services, and operations must be developed simultaneously and cross-linked. These interconnections and interactions of the multitude of systems involved necessitate a system of systems approach, which is accounted for and implemented through agent-based simulations. Accordingly, the system of systems simulation framework is tuned to vehicle architecture as well as fleet design and assessment, thus allows to expand the aircraft design process by fleet operations and transport network perspectives. In this paper, the top level aircraft requirements of electric vertical take-off and landing vehicles are investigated by a fleet-centric approach. Herein, two disparate configurations, i.e. multirotor and tiltrotor, are modelled to depict representative wingless and winged configurations. The optimal design points are found and traded off by formulating different measures of effectiveness accounting for conversion of passenger requests, fleet energy consumption, and vehicle load factor. In summary, this study demonstrates the need for system of systems simulations to derive market-and operations-tailored vehicles and fleets. Furthermore, work on heterogeneous fleet compositions is required.
“…An aircraft fleet planning and architecture framework assessment for air mobility and distribution using a systemof-systems approach is discussed in reference [27]. The framework provides understanding of the SoS design space and successful deployment or optimization of UAM fleet.…”
System-of-Systems (SoS) offer unprecedented potential for new types of emerging services, which significantly exceed the capabilities of the constituting systems. SoS in safety-critical domains (e.g., medical applications, smart grid, disaster recovery, defense) are prominent examples, but they have stringent real-time and reliability requirements. Therefore, a suitable temporal and spatial allocation of resources is required both within each constituent system and in the wide area networks between them. This paper introduces an algorithm for admission control and resources' allocation, which considers these requirements and the autonomy of the constituent systems. To simulate a realistic admission control and resources' allocation process of a typical SoS network, a simulated case study with eight constituent systems, six services, and twenty-five processes/requests is developed. The suggested admission control and resources' allocation process's performance is measured in terms of gain in the execution time and blockage probability. A sensitivity analysis is carried out to evaluate the influence of the number of constituent systems and the number of services sought by the received processes/requests on the efficacy of the proposed process. The results show that the proposed admission control and resources' allocation process have very low blockage probability, high gain in the execution time, and high resources' utilization.
“…There are a few studies that mainly focus on the digital twin for mobility systems. Some studies directly implemented digital twins [27][28][29][30] , and other studies applied and modified existing traffic simulations 31,32 . However, most of the research focused on implementing mobility services of a prototype with a small number of vehicles, and the case study was also limited to a mobility system operated in small and local areas.…”
The advancement of digital twin technology has significantly impacted the utilization of virtual cities in the realm of smart cities and mobility. Digital twins provide a platform for the development and testing of various mobility systems, algorithms, and policies. In this research, we introduce DTUMOS, a digital twin framework for urban mobility operating systems. DTUMOS is a versatile, open-source framework that can be flexibly and adaptably integrated into various urban mobility systems. Its novel architecture, combining an AI-based estimated time of arrival model and vehicle routing algorithm, allows DTUMOS to achieve high-speed performance while maintaining accuracy in the implementation of large-scale mobility systems. DTUMOS exhibits distinct advantages in terms of scalability, simulation speed, and visualization compared to current state-of-the-art mobility digital twins and simulations. The performance and scalability of DTUMOS are validated through the use of real data in large metropolitan cities including Seoul, New York City, and Chicago. DTUMOS’ lightweight and open-source environment present opportunities for the development of various simulation-based algorithms and the quantitative evaluation of policies for future mobility systems.
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