Assessing the Suitability of Urban Air Mobility Vehicles for a Specific Aerodrome Network

Howard, Ryan J.; Wright, Ethan; Mudumba, Sai; Gunady, Nicholas I.; Sells, Brandon E.; Maheshwari, Apoorv

doi:10.2514/6.2021-3208

Cited by 11 publications

(8 citation statements)

References 11 publications

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“…For the AAM vehicles that are operating within the traffic network, three different types of passenger carrying vehicles are considered as Wisk Cora 5, Ehang 216, and Lilium Eagle. The specifications of those vehicles and used parameters are given in Table I [19]. For setting the feasible O/D pairs, the maximum range and flight time limitations for the vehicles are taken into account as a constraint.…”

Section: A Data Preparationmentioning

confidence: 99%

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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%

“…Since flight cancellations are used as an improving action, it is important to consider the cost of that approach as well. For the simple cost analysis, direct operating costs of the AAM vehicles are used as in [19]. It is assumed that the passengers are meeting the operating costs to receive such a service.…”

Section: Antifragility Improvement On the Aam Networkmentioning

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)

View full text Add to dashboard Cite

show abstract

“…The network covers information such as vertiport locations and capacities. As a vehicle model, a lift and cruise type (Wisk Cora) vehicle is used for the whole traffic which has around 177 km/h cruise speed, 20 km/h vertical speed, 100 km range, and 19 minutes maximum flight time [41]. The range and endurance limits of the chosen vehicle are considered for obtaining the feasible origin-destination (O/D) pairs.…”

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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“…According to available public data [6], the acquisition cost per unit mass for a UAM vehicle is 734 $/kg. Based on available data, another study [3] predicts that the acquisition cost per unit mass of a UAM vehicle under current demand is about 661 $/kg. Using Joby S4 as an example, the acquisition cost is approximately $1.44 million.…”

Section: Acquisition Costmentioning

confidence: 99%

“…Their work focused primarily on fixed-wing aircraft without eVTOL. Howard et al established a primary UAM aircraft direct operating cost (DOC) model, but it was only for a given airport network model with a simplified mission profile that considered only the cruise phase [3]. Goyal et al established DOC and profitability models to analyze the UAM market potential, but only the essential mission phase was considered [4], which is similar to Pertz's research [5].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Battery Performance on Urban Air Mobility Operations

et al. 2023

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Urban air mobility (UAM) is a promising transportation concept that can effectively address city traffic congestion and environmental pollution. Power batteries are used extensively in UAM vehicles, and their technical characteristics (charge rate and specific energy) are coupled with other sizing parameters to significantly impact the direct operating cost (DOC). This study develops a DOC model based on a standard flight profile and a detailed battery model to determine the impact of battery performance on UAM operations. The results reveal that for a given operating model and current battery technology, there is a narrower charge rate choice for different DOCs; a charging rate of at least 2–2.5 C is required for rational design. Advancements in specific energy are expected to reduce the DOC by 20–25% by 2035. This model reflects the impacts of battery performance on UAM operations, which is conducive to further developments in the UAM market.

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Assessing the Suitability of Urban Air Mobility Vehicles for a Specific Aerodrome Network

Cited by 11 publications

References 11 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

The Impact of Battery Performance on Urban Air Mobility Operations

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