Impact of Airspace Restrictions on Urban Air Mobility Commuter Demand Potential

Rimjha, Mihir; Hotle, Susan; Trani, Antonio; Hinze, Nicholas

doi:10.1109/icns54818.2022.9771523

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…The vertiport network is built over the Northern California area following the research efforts in [18] which analyzes the historical transportation patterns to obtain the possible UTM demand trend. Therefore, 75 different vertiport locations are considered for Northern California.…”

Section: A Data Preparationmentioning

confidence: 99%

Analyzing Fragility of the Advanced Air Mobility System and Exploring Antifragile Networks

Altun,

Xu,

Inalhan

et al. 2023

2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC)

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Future Advanced Air Mobility (AAM) is a concept that envisions to transform the current air transportation system into a more agile, flexible, and accessible system. Yet, the considered transformation and integrated system is not easy to achieve since it involves providing a high level of safety as well as efficiency. For that purpose, in this paper, we explored the fragility and antifragility concepts to analyze the AAM traffic network and provide an understanding of a system where it can benefit even under adverse conditions such as contingency events. For the analysis, first, a complex AAM traffic network is built via various AAM vehicles and possible vertiport locations that are analyzed for the Northern California area. After that, the AAM network is modeled via queue theory to simulate the considered flight plans, obtain the actual departure and arrival times under different conditions, and observe the delay propagation. Then, metrics from network theory based on targeted node and edge removals are studied to analyze the fragility of the AAM network and used for antifragility analysis. The methodology is used to analyze different disruptive cases over an AAM network such that disruptions at vertiports and over origin-destination pairs. Finally, an analysis of making the considered traffic antifragile through flight cancellations and its trade-off based on flight cancellation costs is provided.

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Section: A Data Preparationmentioning

confidence: 99%

Analyzing Fragility of the Advanced Air Mobility System and Exploring Antifragile Networks

Altun,

Xu,

Inalhan

et al. 2023

2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC)

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“…UTM traffic is generated by using the vertiport network that is built based on the studies in [40] which analyzes the historical transportation patterns to obtain the possible UTM demand trend for Dallas/Fort Worth area. The network covers information such as vertiport locations and capacities.…”

Section: Utm Trafficmentioning

confidence: 99%

Comprehensive Risk Assessment and Utilization for Contingency Management of Future AAM System

Altun

Tsourdos

et al. 2023

AIAA AVIATION 2023 Forum

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This paper presents a risk assessment methodology to be used in the future Advanced Air Mobility (AAM) systems especially for supporting the planning phase and onboard contingency management solutions. Two types of dynamic risk maps are introduced as Contingency Risk Map that includes the probability of observing a contingency onboard and Risk Severity Map which covers various sources of data such as population density, a dense air traffic, obstacles, terrain, no-fly zones, and so forth. Contingency Risk Map is to quantify the probability of having a contingency and decide if the quantified probability is above the threshold. If the contingency risk probability is at unacceptable limit, Risk Severity Map assists to select a pre-defined secure emergency landing zone or non-secure emergency landing zone defined onboard. The developed risk assessment structure is tested through two different use cases. First one is about defining locations as vertiport alternatives based on the generated map, in case of a contingency ending up with an AAM vehicle to do emergency landing. Second case considers minimum risk onboard rerouting of an AAM vehicle to a secure/non-secure emergency landing zone under contingency management process. The main objective of this work is to build a system-wide contingency management concept for the AAM system by supporting with UTM services such as risk analysis assistance.

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“…Possible failures and hazards considering the platforms to be utilized in UAM operations are explored in [45]. Also, there are studies focusing on UAM demand prediction, which can be used in use case definition and possible traffic network creation for AAM [46]. Acoustic tests of Joby Aviation's AAM vehicle are conducted by NASA, which is a complete demonstration of an AAM vehicle through a full operation [47].…”

Section: Introductionmentioning

confidence: 99%

AMU-LED Cranfield Flight Trials for Demonstrating the Advanced Air Mobility Concept

Altun,

Hasanzade,

Saldiran

et al. 2023

Aerospace

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Advanced Air Mobility (AAM) is a concept that is expected to transform the current air transportation system and provide more flexibility, agility, and accessibility by extending the operations to urban environments. This study focuses on flight test, integration, and analysis considerations for the feasibility of the future AAM concept and showcases the outputs of the Air Mobility Urban-Large Experimental Demonstration (AMU-LED) project demonstrations at Cranfield University. The purpose of the Cranfield demonstrations is to explore the integrated decentralized architecture of the AAM concept with layered airspace structure through various use cases within a co-simulation environment consisting of real and simulated standard-performing vehicle (SPV) and high-performing vehicle (HPV) flights, manned, and general aviation flights. Throughout the real and simulated flights, advanced U-space services are demonstrated and contingency management activities, including emergency operations and landing, are tested within the developed co-simulation environment. Moreover, flight tests are verified and validated through key performance indicator analysis, along with a social acceptance study. Future recommendations on relevant industrial and regulative activities are provided.

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Impact of Airspace Restrictions on Urban Air Mobility Commuter Demand Potential

Cited by 5 publications

References 13 publications

Analyzing Fragility of the Advanced Air Mobility System and Exploring Antifragile Networks

Analyzing Fragility of the Advanced Air Mobility System and Exploring Antifragile Networks

Comprehensive Risk Assessment and Utilization for Contingency Management of Future AAM System

AMU-LED Cranfield Flight Trials for Demonstrating the Advanced Air Mobility Concept

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