Drone selection for disaster responses: an application of the stratified-best-worst method
Management Decision,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 19, 2025
Purpose
The
purpose
of
this
research
is
to
address
the
challenges
selecting
optimal
drones
for
disaster
response
operations
under
uncertainties.
Traditional
static
(deterministic)
models
often
fail
capture
complexities
and
uncertainties
scenarios.
This
study
aims
develop
a
more
resilient
adaptable
decision-making
framework
by
integrating
best-worst
method
(BWM)
with
stratified
multi-criteria
(SMCDM),
focusing
on
various
uncertainty
scenarios
such
as
weather
conditions,
communication
navigation
control
issues.
Design/methodology/approach
methodology
involves
identifying
seven
essential
criteria
drone
evaluation,
guided
contingency
theory.
BWM
derives
weights
each
criterion
comparing
best
worst
alternatives.
SMCDM
incorporates
different
into
process.
Sensitivity
analysis
assesses
robustness
decisions
weightings
operational
integrated
approach
demonstrated
through
practical
application
Kerala
flood
scenario.
Findings
proves
be
highly
effective
in
adapting
scenarios,
enabling
decision-makers
consistently
identify
response.
method’s
ability
account
uncertain
conditions
weather,
issues
ensures
that
selected
based
situation
at
hand.
Research
limitations/implications
fills
critical
gaps
literature
offering
comprehensive
model
selection.
However,
there
are
certain
limitations.
reliance
expert
opinions
introduces
subjectivity,
potentially
affecting
generalizability
results.
In
addition,
study’s
focus
single
case,
floods,
limits
its
applicability
other
geographic
contexts.
Integrating
real-time
data
analytics
process
could
also
enhance
model’s
adaptability
evolving
improve
relevance.
Practical
implications
offers
practical,
By
SMCDM,
can
uncertainties,
or
disruptions,
make
informed
choices.
leads
better
resource
allocation
efficient
operations,
ultimately
enhancing
speed
effectiveness
relief
efforts
adjust
scenario-specific
factors
optimally
deployed
according
unique
demands
disaster.
Social
incorporating
proposed
assists
appropriately
choosing
their
characteristics
crucial
specific
thereby
efficiency
operations.
Originality/value
presents
integration
creating
dynamic
selection
addresses
posed
environments.
Unlike
traditional
methods,
allows
resulting
reliable
responsive
deployment.
bridges
gap
existing
tool
response,
providing
new
insights
applications
optimizing
complex,
real-world
Язык: Английский
The Impact of Automation Failure on Unmanned Aircraft System Operators’ Performance, Workload, and Trust in Automation
Drones,
Год журнала:
2025,
Номер
9(3), С. 165 - 165
Опубликована: Фев. 23, 2025
Automation
failures
in
Unmanned
Aircraft
Systems
(UASs)
significantly
lead
to
a
decrease
overall
system
performance,
an
increase
operator
workload,
and
deterioration
automation
trust.
This
study
investigates
how
the
frequency
intensity
of
differ
multi-subsystem
environments.
An
improved
automated
MATB
(Multi-Attribute
Task
Battery)
paradigm
was
used
quantify
failure
at
four
levels.
Through
operational
experiments
incorporating
eye-tracking
technology,
we
examined
effects
different
levels
on
dependent
variables.
Data
were
analyzed
using
descriptive
statistics,
ANOVA,
nonparametric
tests,
revealing
that
while
deteriorated
trust,
task
not
all
variables
showed
consistent
changes
across
levels,
indicating
presence
plateau
effect
certain
cases.
Trust
negatively
mediated
participants’
perceptions
workload
context
failure.
These
results
suggest
contexts
can
have
differing
operators,
especially
complex
socio-technical
systems
involving
multiple
subsystems,
which
should
be
generalized
regarding
whether
they
fail
or
not.
In
practical
applications,
designers
could
consider
trust
(through
personnel
training,
design,
etc.)
reduce
negative
impact
performance
workload.
Язык: Английский
Integrated speed optimization and multivisit drone routing: a mathematical programming approach
International Transactions in Operational Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 7, 2025
Abstract
This
paper
considers
a
last‐mile
delivery
system
in
which
drones
are
used
to
deliver
parcels
customers
within
predefined
delivery‐time
limit,
while
can
perform
multiple
multivisit
trips.
The
effects
of
both
drone
speed
and
load
weight
considered
on
energy
consumption
all
flight
phases,
including
takeoff,
cruise,
hovering,
landing
using
realistic
nonconvex
formula.
problem
determines
the
routes
their
speeds
during
cruise
with
aim
minimizing
total
consumed
energy.
initially
examines
for
discrete
case
where
selected
from
finite
list
options.
initial
formulation
is
mixed‐integer
nonlinear
program
that
cannot
be
solved
efficiently.
Using
novel
approach
changes
problem's
input
space,
linear
proposed
enhanced
by
valid
inequalities.
Utilizing
an
efficient
preprocessing
algorithm,
able
solve
instances
up
100
customers.
Next,
studies
continuous
take
values
specified
interval.
It
first
demonstrated
how
optimally
when
no
limit
imposed.
Then,
it
shown
approximately
case.
A
method
computing
approximation
error
also
presented,
determine
appropriate
level
discretization.
Язык: Английский
Use of Drones in Disasters in the European Union: Privacy Issues and Lessons Learned from the COVID-19 Pandemic and Mass Surveillance Jurisprudence of the ECtHR and the CJEU
Laws,
Год журнала:
2025,
Номер
14(2), С. 27 - 27
Опубликована: Апрель 16, 2025
Severe
earthquakes,
extreme
floods,
tragic
accidents,
mega-fires,
and
even
viruses
belong
to
disasters
that
can
destroy
the
economic,
social,
or
cultural
life
of
people.
Due
climate
crisis,
will
likely
become
more
frequent
intense
over
years.
Unmanned
aerial
vehicles
(UAVs/drones)
have
obtained
an
increasing
role
in
disaster
management,
which
was
particularly
evident
during
COVID-19
pandemic.
However,
lack
social
acceptability
remains
a
limiting
factor
drone
usage.
Drones
as
means
state
surveillance—possibly
mass
surveillance—are
subject
certain
limits
since
their
advanced
monitoring
technology,
including
Artificial
Intelligence,
may
affect
human
rights,
such
right
privacy.
severity
pandemic,
has
been
described
“ideal
emergency”,
despite
rising
use
drones,
privacy
concerns
underestimated
so
far.
At
same
time,
existing
approach
European
Court
Human
Rights
(ECtHR)
Justice
Union
(CJEU)
regarding
health
crisis
rights
emergencies
seems
rather
conservative
and,
thus,
setting
between
conflicting
exceptional
circumstances
vague.
Under
these
conditions,
fear
pandemic
starting
point
for
transitioning
world
normalizing
exception
is
evident.
Such
terms
implies
with
narrowed
scope
privacy;
questions
exploring
challenges
about
future
regulation,
especially
Union,
are
crucial.
Язык: Английский
Using Eye-Tracking Analysis to Detect Pilot Focus in Drone Interfaces During Signal Loss
Lecture notes in computer science,
Год журнала:
2025,
Номер
unknown, С. 44 - 56
Опубликована: Янв. 1, 2025
Язык: Английский
UGV-UAV Integration Advancements for Coordinated Missions: A Review
Journal of Intelligent & Robotic Systems,
Год журнала:
2025,
Номер
111(2)
Опубликована: Июнь 2, 2025
Язык: Английский
On delivery policies for a truck-and-drone tandem in disaster relief
IISE Transactions,
Год журнала:
2024,
Номер
unknown, С. 1 - 17
Опубликована: Окт. 7, 2024
This
paper
introduces
the
traveling
salesman
problem
with
a
truck
and
drone
under
incomplete
information
(TSP-DI).
TSP-DI
is
motivated
by
deliveries
of
emergency
supplies
unknown
road
conditions
in
immediate
aftermath
disastrous
event.
The
urgency
may
force
dispatch
relief
vehicles,
such
that
damages
blocking
truck's
planned
route
are
detected
'on-the-fly'.
transport
must
schedule
anticipating
possible
unplanned
detours,
enforce
(planned)
detours
for
early
checking
key
segments,
consider
dynamic
nature
condition
information.
In
this
paper,
we
perform
competitive
analysis
widely
used
delivery
policy
practice
–
online
re-optimization
(Reopt)
compare
it
to
several
alternative
strategies.
Competitive
examines
worst-case
performance
strategies
particularly
important
context
disaster
relief,
where
outcomes
be
avoided.
Our
shows
Reopt
dominated
policies
terms
ratio
even
at
medium
level
damage
on
road.
It
also
underscores
importance
surveillance
performed
drone,
if
delays
start
deliveries.
Язык: Английский