In
order
to
further
improve
the
efficiency
of
cargo
loading
and
unloading
handling
high-value
goods
during
transportation,
this
paper
adopts
a
new
modular
container,
which
optimizes
distribution
by
using
mode
genetic
algorithm
based
on
volumetric
weight
ratio
takes
Beijing
as
an
example
divide
into
early
stage,
middle
period
late
formulate
different
schemes
in
periods
for
verification,
finally
results
show
that
model
established
has
good
applicability.
This
provides
theoretical
support
containers.
Drones,
Год журнала:
2024,
Номер
8(7), С. 296 - 296
Опубликована: Июль 3, 2024
The
integration
of
Artificial
Intelligence
(AI)
tools
and
techniques
has
provided
a
significant
advance
in
drone
technology.
Besides
the
military
applications,
drones
are
being
increasingly
used
for
logistics
cargo
transportation,
agriculture,
construction,
security
surveillance,
exploration,
mobile
wireless
communication.
synergy
between
AI
led
to
notable
progress
autonomy
drones,
which
have
become
capable
completing
complex
missions
without
direct
human
supervision.
This
study
state
art
examines
impact
on
improving
autonomous
behavior,
covering
from
automation
real-time
decision
making.
paper
provides
detailed
examples
latest
developments
applications.
Ethical
regulatory
challenges
also
considered
future
evolution
this
field
research,
because
with
potential
greatly
change
our
socioeconomic
landscape.
ACM Journal on Autonomous Transportation Systems,
Год журнала:
2024,
Номер
1(3), С. 1 - 40
Опубликована: Фев. 21, 2024
The
rising
popularity
of
drones
significantly
impacts
package
delivery
services,
offering
both
unique
opportunities
and
challenges.
This
survey
explores
the
diverse
applications
for
last-mile
deliveries,
highlighting
their
capacity
to
access
remote
areas
create
new
business
prospects.
Use
cases,
ranging
from
critical
medical
deliveries
addressing
COVID-19
pandemic
needs,
underscore
transformative
potential
drone
technology.
While
recognizing
drones’
eco-friendly
attributes
in
eliminating
harmful
gas
emissions,
addresses
battery
constraints,
necessitating
an
investigation
into
physical
energy
models
extend
flight
autonomy.
becomes
crucial
operational
capabilities,
especially
adverse
weather
conditions.
A
reliable
communication
infrastructure
is
success
operations
delivery,
during
unexpected
events,
as
seamless
connectivity
plays
a
key
role
facilitating
efficient
control
monitoring
between
ground
stations
drones.
enables
dynamic
rerouting,
enhancing
overall
reliability.
innovative
approaches,
including
collaborations
with
other
vehicles
like
trucks,
trains,
buses,
optimizing
process.
Despite
potential,
concerns
about
privacy,
security,
safety,
risk
management
are
acknowledged.
work
also
emphasizes
responsible
ethical
implementation,
considering
associated
widespread
adoption.
In
contrast
existing
articles
focused
on
specific
technical
aspects,
this
comprehensive
broadens
its
scope.
It
covers
issues,
sustainability
healthcare
systems,
physics
models,
communications,
security
safety
concerns,
real
test-beds
drone-based
systems.
not
only
identifies
tackles
challenges
but
integrates
broader
considerations.
addition,
extensively
motivations,
lessons
learned,
future
directions
realm
delivery.
Analyzing
literature,
it
provides
valuable
insights
researchers,
industry
professionals,
policymakers,
stakeholders
keen
understanding
evolution
technology
domain.
The International Journal of Logistics Management,
Год журнала:
2024,
Номер
unknown
Опубликована: Фев. 12, 2024
Purpose
This
study
presents
a
systematic
literature
review
(SLR)
of
the
interdisciplinary
on
drones
in
last-mile
delivery
(LMD)
to
extrapolate
pertinent
insights
from
and
into
logistics
management
field.
Design/methodology/approach
Rooting
their
analytical
categories
LMD
literature,
authors
performed
deductive,
theory
refinement
SLR
307
journal
articles
published
during
2015–2022
integrate
this
emergent
phenomenon
Findings
The
derived
potentials,
challenges
solutions
drone
deliveries
relation
12
criteria
dispersed
across
four
stakeholder
groups:
senders,
receivers,
regulators
societies.
Relationships
between
these
were
also
identified.
Research
limitations/implications
contributes
by
offering
current,
nuanced
multifaceted
discussion
drones'
potential
improve
process
together
with
involved.
Practical
implications
provide
managers
holistic
roadmap
help
them
make
informed
decisions
about
adopting
systems.
Regulators
society
members
gain
prospects,
requirements
repercussions
deliveries.
Originality/value
is
one
first
SLRs
applications
perspective.
Mathematics,
Год журнала:
2023,
Номер
11(10), С. 2356 - 2356
Опубликована: Май 18, 2023
Despite
the
rapid
advances
in
autonomous
guidance
and
navigation
techniques
for
unmanned
aerial
vehicle
(UAV)
systems,
there
are
still
many
challenges
finding
an
optimal
path
planning
algorithm
that
allows
outlining
a
collision-free
route
from
vehicle’s
current
position
to
goal
point.
The
grow
as
number
of
UAVs
involved
mission
increases.
Therefore,
this
work
provides
comprehensive
systematic
review
literature
on
algorithms
multi-UAV
systems.
In
particular,
focuses
biologically
inspired
(bio-inspired)
due
their
potential
overcoming
associated
with
problems.
It
presents
taxonomy
classifying
existing
describes
evolution
literature.
offers
structured
accessible
presentation
bio-inspired
researchers
subject,
especially
no
previous
exists
similar
scope.
This
classification
is
significant
it
facilitates
studying
under
one
framework,
shows
main
design
features
clearly
assist
detailed
comparison
between
them,
understanding
research
trends,
anticipating
future
directions.
Our
showed
have
high
approach
problem
identified
directions
could
help
improve
dynamic
area.
Algorithms,
Год журнала:
2023,
Номер
16(8), С. 357 - 357
Опубликована: Июль 26, 2023
The
aim
of
this
paper
is
to
present
a
systematic
literature
review
the
existing
research,
published
between
2006
and
2023,
in
field
artificial
intelligence
for
management
information
systems.
Of
3946
studies
that
were
considered
by
authors,
60
primary
selected
analysis.
analysis
shows
most
research
focused
on
application
AI
intelligent
process
automation,
with
an
increasing
number
focusing
predictive
analytics
natural
language
processing.
With
respect
platforms
used
researchers,
study
finds
cloud-based
solutions
are
preferred
over
on-premises
ones.
A
new
trend
deploying
applications
at
edge
industrial
networks
utilizing
federated
learning
also
identified.
need
focus
efforts
developing
guidelines
frameworks
terms
ethics,
data
privacy,
security
adoption
MIS
highlighted.
Developing
unified
digital
business
strategy
overcoming
barriers
user–AI
engagement
some
identified
challenges
obtaining
value
from
integration.
World Electric Vehicle Journal,
Год журнала:
2024,
Номер
15(1), С. 29 - 29
Опубликована: Янв. 16, 2024
For
the
path
planning
of
quad-rotor
UAVs,
traditional
RRT*
algorithm
has
weak
exploration
ability,
low
efficiency,
and
a
poor
effect.
A
TD-RRT*
based
on
target
bias
expansion
dynamic
step
size
is
proposed
herein.
First,
random-tree
combined
with
strategy
to
remove
blindness
random
tree,
we
assign
different
weights
sampling
point
so
that
can
be
quickly
approached
search
speed
improved.
Then,
introduced
up
speed,
effectively
solving
problem
invalid
in
process
trajectory
generation.
We
then
adjust
length
required
for
tree
obstacles
real
time,
solve
opposition
between
smoothness
time
planning,
improve
algorithm’s
efficiency.
Finally,
cubic
B-spline
interpolation
method
used
modify
local
inflection
improved
smooth
path.
The
simulation
results
show
compared
algorithm,
number
iterations
reduced,
travel
distance
from
starting
position
end
shortened,
consumption
route
smoother,
optimization
effect
better.
significantly
improves
efficiency
UAVs
three-dimensional-space
environment.
Applied Sciences,
Год журнала:
2023,
Номер
13(18), С. 10427 - 10427
Опубликована: Сен. 18, 2023
The
advent
of
electric
and
flying
vehicles
(EnFVs)
has
brought
significant
advancements
to
the
transportation
industry,
offering
improved
sustainability,
reduced
congestion,
enhanced
mobility.
However,
efficient
routing
messages
in
EnFVs
presents
unique
challenges
that
demand
specialized
algorithms
address
their
specific
constraints
objectives.
This
study
analyzes
several
case
studies
investigate
effectiveness
genetic
(GAs)
optimizing
for
EnFVs.
major
contributions
this
research
lie
demonstrating
capability
GAs
handle
complex
optimization
problems
with
multiple
objectives,
enabling
simultaneous
consideration
factors
like
energy
efficiency,
travel
time,
vehicle
utilization.
Moreover,
offer
a
flexible
adaptive
approach
finding
near-optimal
solutions
dynamic
systems,
making
them
suitable
real-world
EnFV
networks.
While
show
promise,
there
are
also
limitations,
such
as
computational
complexity,
difficulty
capturing
constraints,
potential
sub-optimal
solutions.
Addressing
these
challenges,
highlights
future
directions,
including
integration
real-time
data
updates,
hybrid
approaches
other
techniques,
uncertainty
risk
management,
scalability
large-scale
problems,
enhancing
efficiency
sustainability
routing.
By
exploring
avenues,
researchers
can
further
improve
EnFVs,
paving
way
seamless
into
modern
systems.
Strategic Study of CAE,
Год журнала:
2024,
Номер
26(1), С. 117 - 117
Опубликована: Янв. 1, 2024
As
intelligent
technologies
and
unmanned
systems
develop
rapidly,
the
concept
of
cross-domain
cooperative
technology
swarm
has
emerged,
received
widespread
attention,
gradually
become
high
ground
in
competition
system
among
countries
worldwide.Based
on
development
demand
for
China,
this
study
summarizes
research
status
crossdomain
typical
scenarios
such
as
sea
-air,
air
-ground,
-ground/sea
-ground
thoroughly
analyzes
current
status,
technological
demand,
key
directions
technology.Additionally,
countermeasures
suggestions
are
proposed
to
promote
steady
rapid
from
perspectives
overall
concept,
architecture,
theoretical
innovation,
breakthroughs,
with
aim
facilitating
sustained
China.
