Optimal Vertiport Airspace and Approach Control Strategy for Urban Air Mobility (UAM)

Song, Kyowon

doi:10.3390/su15010437

Cited by 6 publications

(4 citation statements)

References 25 publications

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“…Assuming an intra-city UAM flight of about 20 min, the performance target will be fully met when 95% of the UAM flights per time interval achieve d IF,i of 2.5 min or less. The importance of punctuality upon arrival is highlighted by [40], who adjusted on-time performance targets from 70% to 90% to investigate the potential of a newly developed queuing approach control strategy for UAM vertiport airspace. Again, we are adding a highperformance target, here described as 99% punctuality for the vertidrome operator, by following the punctuality target visions for conventional aviation for 2020 defined in 2001 [41] .…”

Section: Valos Stakeholder Requirementsmentioning

confidence: 99%

Vertidrome Airside Level of Service: Performance-Based Evaluation of Vertiport Airside Operations

Schweiger,

Knabe

2023

Drones

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This paper presents the Vertidrome Airside Level of Service (VALoS) framework, a novel performance metric designed to evaluate airside traffic flow operations at vertidromes in the context of Urban Air Mobility (UAM). As the UAM industry rapidly evolves, the need for a comprehensive evaluation framework becomes increasingly important. The VALoS framework provides a performance-based approach to evaluating vertidrome traffic flow performance, considering metrics like average passenger delay, air taxi in-flight delay, and vertidrome punctuality. Unlike existing Level of Service approaches, the VALoS framework unifies the requirements of various stakeholders, the passenger, the air taxi operator, and the vertidrome operator each with their own performance metric and target. It provides a multi-faceted approach covering airside air and ground traffic flows, arrivals and departures, and performance changes during strategic planning and tactical execution phases. The VALoS is evaluated at 15-min intervals while considering changing stakeholder performance targets and operational uncertainties. For the reference use case, the study demonstrates the significant impact of short-term disruptions, while stochastic deviations can be neglected. Higher traffic volumes due to changing demand/capacity ratios result in higher VALoS variability. The VALoS framework, together with a fast-time simulation, provides a versatile method for exploring future vertidrome traffic flows and supporting strategic vertidrome airside planning and integration. This integrated approach is essential for the evolving UAM vertidrome industry; aligning the interests of different stakeholders and promoting sustainable and efficient vertidrome planning and operation.

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Section: Valos Stakeholder Requirementsmentioning

confidence: 99%

Vertidrome Airside Level of Service: Performance-Based Evaluation of Vertiport Airside Operations

Schweiger,

Knabe

2023

Drones

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“…Urban air mobility is expected to be used in, among others, emergency patient transport, cargo transport, and passenger transport. As a concept, UAM was defined in [40], which is based mainly on the on-demand approach. It refers to a new generation that expects vertical take-off and landing vehicles, autonomously operated flights, and adapted infrastructure.…”

Section: Urban Air Mobilitymentioning

confidence: 99%

Quantitative and Comparative Analysis of Energy Consumption in Urban Logistics Using Unmanned Aerial Vehicles and Selected Means of Transport

Kwasiborska,

Stelmach,

Jabłońska

2023

Energies

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Cities are moving towards sustainable development, which consists of tasks and challenges to improve the quality of life, and minimize energy consumption. The concept of sustainable mobility includes the choice of means of transport other than the car for all journeys, especially short distances, and for the delivery of goods. Due to the growing populations of cities, lack of free space, and high costs of building infrastructure for traditional means of transport, cities are looking for modern solutions that allow for the cheap, fast, and green transportation of people and goods. Urban air mobility is the answer to these problems, and uses eVTOL (electric vertical take-off and landing) aircraft and unmanned aerial vehicle systems (UAVs). The article’s main purpose is to present an energy efficiency analysis using UAVs and electric scooters in the transport of takeaway food, which is a solution that fits into the zero-emission transport policy. The article presents the following research problem: which type of electric transport (scooters/UAVs) shows a lower demand for electric energy when delivering food from restaurants to individual customers? The analysis method was applied using the D’Andrea, Dorling, Figliozzi, Kirchstein, and Tseng energy models. The completed calculations were used to perform a comparative analysis of energy consumption for three adopted scenarios related to energy consumption by drones.

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“…For operating drones in urban environments, we need to consider the restricted airspace around the landing pad. Some research proposed that a conical airspace is effective in an urban area [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Real‐time collision‐free landing path planning for drone deliveries in urban environments

Lee,

Cho,

Jung

2023

ETRI Journal

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This study presents a novel safe landing algorithm for urban drone deliveries. The rapid advancement of drone technology has given rise to various delivery services for everyday necessities and emergency relief efforts. However, the reliability of drone delivery technology is still insufficient for application in urban environments. The proposed approach uses the “landing angle control” method to allow the drone to land vertically and a rapidly exploring random tree‐based collision avoidance algorithm to generate safe and efficient vertical landing paths for drones while avoiding common urban obstacles like trees, street lights, utility poles, and wires; these methods allow for precise and reliable urban drone delivery. We verified the approach within a Gazebo simulation operated through ROS using a six‐degree‐of‐freedom drone model and sensors with similar specifications to actual models. The performance of the algorithms was tested in various scenarios by comparing it with that of state‐of‐the‐art 3D path planning algorithms.

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Optimal Vertiport Airspace and Approach Control Strategy for Urban Air Mobility (UAM)

Cited by 6 publications

References 25 publications

Vertidrome Airside Level of Service: Performance-Based Evaluation of Vertiport Airside Operations

Vertidrome Airside Level of Service: Performance-Based Evaluation of Vertiport Airside Operations

Quantitative and Comparative Analysis of Energy Consumption in Urban Logistics Using Unmanned Aerial Vehicles and Selected Means of Transport

Real‐time collision‐free landing path planning for drone deliveries in urban environments

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