The impact of civil airspace policies on the viability of adopting autonomous unmanned aerial vehicles in last-mile applications

ElSayed, Mo; Foda, Ahmed; Mohamed, Moataz

doi:10.1016/j.tranpol.2023.10.002

Cited by 3 publications

(2 citation statements)

References 48 publications

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“…[19]. The results of a recent study showed that, under the appropriate flight policies, a fullcoverage low-impact UAV independent system is feasible [20]. A multitrip vehicle routing problem (MTVRP) that compensates for the limited carrying capacity by reusing drones when possible was experimentally validated by a linear energy consumption model [21].…”

Section: Work Contributionsmentioning

confidence: 99%

Paving the Way for Last-Mile Delivery in Greece: Data-Driven Performance Analysis with a Customized Quadrotor

Ioannidis,

Boutsi,

Tsingenopoulos

et al. 2023

Drones

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Cargo drones are a cutting-edge solution that is becoming increasingly popular as flight times extend and regulatory frameworks evolve to accommodate new delivery methods. The aim of this paper was to comprehensively understand cargo drone dynamics and guide their effective deployment in Greece. A 5 kg payload quadrotor with versatile loading mechanisms, including a cable-suspended system and an ultra-light box, was manufactured and tested in five Greek cities. A comprehensive performance evaluation and analysis of flight range, energy consumption, altitude-related data accuracy, cost-effectiveness, and environmental were conducted. Based on hands-on experimentation and real-world data collection, the study proposes a novel data-driven methodology for strategically locating charging stations and addressing uncertainties like weather conditions and battery discharge during flights. Results indicate significant operational cost savings (89.44%) and a maximum emissions reduction (77.42%) compared to conventional transportation. The proposed strategic placement of charging stations led to substantial reductions in travel distance (41.03%) and energy consumption (56.73%) across five case studies in Greek cities.

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Section: Work Contributionsmentioning

confidence: 99%

Paving the Way for Last-Mile Delivery in Greece: Data-Driven Performance Analysis with a Customized Quadrotor

Ioannidis,

Boutsi,

Tsingenopoulos

et al. 2023

Drones

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“…Novel methods are being developed to meet the diverse demands of multi-objective flight control systems for flexible aircraft. Several research groups have studied and performed original research in drone guidance, navigation, and control [8]. However, deployment of UAVs has encountered a variety of constraints within different service levels, as characterized by the matrix map in Figure 1.…”

Section: Motivation and Introductionmentioning

confidence: 99%

Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems

Moness,

Abdelghany,

Mohammed

et al. 2024

Drones

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In the expeditiously evolving discipline of autonomous aerial robotics, the efficiency and precision of drone control deliveries have become predominant. Different control strategies for UAV systems have been thoroughly investigated, yet PID controllers still receive significant consideration at various levels in the control loop. Although fractional-order PID controllers (FOPID) have greater flexibility than integer-order PID (IOPID) controllers, they are approached with caution and hesitance. This is due to the fact that FOPID controllers are more computationally intensive to tune, as well as being more challenging to implement accurately in real time. In this paper, we address this problem by developing and implementing a surrogate-based analysis and optimization (SBAO) of a relatively high-order approximation of FOPID controllers. The proposed approach was verified through two case studies; a simulation quadrotor benchmark model for waypoint navigation, and a real-time twin-rotor copter system. The obtained results validated and favored the SBAO approach over other classical heuristic methods for IOPID and FOPID.

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Robust digital-twin airspace discretization and trajectory optimization for autonomous unmanned aerial vehicles

ElSayed,

Mohamed

2024

Sci Rep

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The infiltration of heterogenous fleets of autonomous Unmanned Aerial Vehicles (UAVs) in smart cities is leading to the consumerization of city air space which includes infrastructure creation of roads, traffic design, capacity estimation, and trajectory optimization. This study proposes a novel autonomous Advanced Aerial Mobility (AAM) logistical system for high density city centers. First, we propose a real-time 3D geospatial mining framework for LiDAR data to create a dynamically updated digital twin model. This enables the identification of viable airspace volumes in densely populated 3D environments based on the airspace policy/regulations. Second, we propose a robust city airspace dynamic 4D discretization method (Skyroutes) for autonomous UAVs to incorporate the underlying real-time constraints coupled with externalities, legal, and optimal UAV operation based on kinematics. An hourly trip generation model was applied to create 1138 trips in two scenarios comparing the cartesian discretization to our proposed algorithm. The results show that the AAM enables a precise airspace capacity/cost estimation, due to its detailed 3D generation capabilities. The AAM increased the airspace capacity by up to 10%, the generated UAV trajectories are 50% more energy efficient, and significantly safer.

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The impact of civil airspace policies on the viability of adopting autonomous unmanned aerial vehicles in last-mile applications

Cited by 3 publications

References 48 publications

Paving the Way for Last-Mile Delivery in Greece: Data-Driven Performance Analysis with a Customized Quadrotor

Paving the Way for Last-Mile Delivery in Greece: Data-Driven Performance Analysis with a Customized Quadrotor

Surrogate Optimal Fractional Control for Constrained Operational Service of UAV Systems

Robust digital-twin airspace discretization and trajectory optimization for autonomous unmanned aerial vehicles

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