The drone scheduling problem: A systematic state-of-the-art review
Drones are receiving popularity with time due to their advanced mobility. Although they were
initially deployed for military purposes, they now have a wide array of applications in various …
initially deployed for military purposes, they now have a wide array of applications in various …
Efficiency of UAV-based last-mile delivery under congestion in low-altitude air
Emerging unmanned aerial vehicle (UAV) technologies have motivated logistics carriers to
seek last-mile parcel delivery through the air so as to benefit from its convenience and …
seek last-mile parcel delivery through the air so as to benefit from its convenience and …
Deep learning and blockchain with edge computing for 5G-enabled drone identification and flight mode detection
Nowadays, drones are not just deployed for defense and military establishments, but they
are widely used in many applications such as natural disaster monitoring, soil and crop …
are widely used in many applications such as natural disaster monitoring, soil and crop …
Drone-Based Delivery Systems: A Survey on Route Planning
The ever-increasing demand for urban delivery services significantly exacerbates the traffic
conditions on our already overly congested urban streets. The problem is even worsened by …
conditions on our already overly congested urban streets. The problem is even worsened by …
Vehicle and UAV collaborative delivery path optimization model
In the context of frequent public emergencies, emergency logistics distribution is particularly
critical, and because of the unique advantages of unmanned aerial vehicles (UAVs), the …
critical, and because of the unique advantages of unmanned aerial vehicles (UAVs), the …
[HTML][HTML] Urban Air Logistics with Unmanned Aerial Vehicles (UAVs): Double-Chromosome Genetic Task Scheduling with Safe Route Planning
Highlights What are the main findings? Developed a combined task scheduling and path
planning framework for enabling optimized and safe drone delivery services in an urban …
planning framework for enabling optimized and safe drone delivery services in an urban …
Secured multi-dimensional robust optimization model for remotely piloted aircraft system (RPAS) delivery network based on the SORA standard
The range of applications of RPAs in various industries indicates that their increased usage
could reduce operational costs and time. Remotely piloted aircraft systems (RPASs) can be …
could reduce operational costs and time. Remotely piloted aircraft systems (RPASs) can be …
Efficient route selection for drone-based delivery under time-varying dynamics
The use of drones can be a valuable solution for the problem of delivering goods for many
reasons. In fact, they can be efficiently employed in time-critical situations when there is a …
reasons. In fact, they can be efficiently employed in time-critical situations when there is a …
A bayesian optimization approach for multi-function estimation for environmental monitoring using an autonomous surface vehicle: Ypacarai lake case study
Bayesian optimization is a sequential method that can optimize a single and costly objective
function based on a surrogate model. In this work, we propose a Bayesian optimization …
function based on a surrogate model. In this work, we propose a Bayesian optimization …
Modeling quarantine during epidemics and mass-testing using drones
L Sedov, A Krasnochub, V Polishchuk - PloS one, 2020 - journals.plos.org
We extend the classical SIR epidemic spread model by introducing the “quarantined”
compartment. We solve (numerically) the differential equations that govern the extended …
compartment. We solve (numerically) the differential equations that govern the extended …