IET Intelligent Transport Systems,
Journal Year:
2024,
Volume and Issue:
19(1)
Published: Dec. 30, 2024
Abstract
This
paper
proposes
a
two‐layer
control
strategy
to
enhance
connected
vehicles
fuel
efficiency.
Compared
with
previous
works,
this
study
an
approach
optimize
both
the
vehicle
speed
and
gearbox
position
achieve
better
The
task
is
given
in
two
stages:
upper
layer
lower
layer.
Before
trip
departure,
concurrently
optimizes
based
on
road
map
information,
engine
parameters
for
entire
route.
Then,
while
driving,
used
follow
pre‐computed
optimal
profiles.
Model
predictive
follows
ensuring
adaptive
safe
distance
constraint
preceding
vehicle.
For
gear
shifting,
online
shift
assuring
tracking
of
developed
look‐ahead
data
actions.
effectiveness
proposed
was
evaluated
comprehensive
simulations
comparison
tests
using
Matlab
CarSim
software.
mean
optimization
calculation
time
0.065
s,
indicating
its
real‐time
capability.
method
can
be
as
driving
assist
system
or
implemented
controller
self‐driving
vehicles.
Vehicles,
Journal Year:
2024,
Volume and Issue:
6(3), P. 1185 - 1199
Published: July 9, 2024
The
introduction
of
advanced
driver
assistance
systems
has
significantly
reduced
vehicle
accidents
by
providing
crucial
support
for
high-speed
driving
and
alerting
drivers
to
imminent
dangers.
Despite
these
advancements,
current
still
depend
on
the
driver’s
ability
respond
warnings
effectively.
To
address
this
limitation,
research
focused
developing
a
neural
network
model
automatic
detection
classification
objects
in
front
vehicle,
including
pedestrians
other
vehicles,
using
radar
technology.
Radar
sensors
were
employed
detect
measuring
distance
object
analyzing
power
reflected
signals
determine
type
detected.
Experimental
tests
conducted
evaluate
performance
radar-based
system
under
various
conditions,
assessing
its
accuracy
detecting
classifying
different
objects.
proposed
achieved
high
rate,
correctly
identifying
approximately
91%
test
scenarios.
results
demonstrate
that
can
be
used
inform
potential
hazards
or
initiate
autonomous
braking
steering
maneuvers
prevent
collisions.
This
contributes
development
more
effective
safety
features
enhancing
overall
effectiveness
paving
way
future
advancements
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(5), P. 2562 - 2562
Published: Feb. 27, 2025
Every
time
the
proper
functioning
of
vehicles
must
be
guaranteed,
as
well
safety
and
efficiency.
To
achieve
this,
some
expensive
solutions
are
used,
with
few
connectivity
options
that
fail
to
meet
consumer
demand.
This
paper
presents
a
low-cost
hardware
system
for
design
real-time
communication
protocol
between
electronic
control
unit
(ECU)
vehicle
remote
server
based
in
embedded
system.
A
dual
tone
multi-frequency
(DTMF)
approach
is
implemented,
so
error
codes
(DTCs)
always
available
on
equipped
this
The
vehicle-to-infrastructure
(V2I)
through
voice
channels
provided
by
cellular
technology
infrastructure,
which
primary
information
shared
monitor
vehicles.
With
data
transmission,
established
phone
call
vehicle’s
ECU
destination
server,
communicating
DTC
codes.
shows
has
an
effectiveness
78.23%,
means
use
2G
technology,
active
operating
many
regions,
it
allows
received
receiving
user.
Through
implemented
system,
ensured
if
suffers
accident
or
stops
due
mechanical
failure
region
where
there
no
coverage,
message
can
sent
rescue
carried
out
using
coverage.
Designs,
Journal Year:
2025,
Volume and Issue:
9(2), P. 47 - 47
Published: April 11, 2025
Light
detection
and
ranging
(LiDAR)
sensors
are
critical
for
autonomous
vehicles
that
require
unparalleled
depth
sensing.
However,
traditional
LiDAR
designs
face
significant
challenges,
including
high
costs
bulky
configurations,
limiting
scalability
mass-market
adoption.
By
uniquely
combining
patent
scientometric
analysis,
this
study
screened
188
recent
patents
from
a
dataset
of
more
than
two
million
patents,
uncovering
strategies
to
enhance
capability
reduce
production
costs.
The
key
findings
highlight
the
growing
emphasis
on
solid-state
architectures,
modular
designs,
integrated
manufacturing
processes
as
pathways
scalable
efficient
solutions.
These
insights
bridge
gap
between
scientific
advancements
practical
implementation,
providing
stakeholders
with
clear
understanding
technological
landscape
emerging
trends.
identifying
future
directions
actionable
opportunities,
work
supports
development
next-generation
systems,
fostering
innovation
enabling
broader
adoption
across
other
sectors.
This
paper
integrates
Fault
Tree
Analysis
(FTA)
and
Bayesian
Networks
(BN)
to
assess
collision
risk
establish
Automotive
Safety
Integrity
Level
(ASIL)
B
failure
rate
targets
for
critical
autonomous
vehicle
(AV)
components.
The
FTA-BN
integration
combines
the
systematic
decomposition
of
events
provided
by
FTA
with
probabilistic
reasoning
capabilities
BN,
which
allow
dynamic
updates
in
probabilities,
enhancing
adaptability
assessment.
A
fault
tree
is
constructed
based
on
AV
subsystem
architecture,
as
top
event,
rates
are
assigned
while
ensuring
total
remains
within
100
FIT.
inference
applied
update
posterior
results
indicate
that
perception
system
failures
(46.06
FIT)
most
significant
contributor,
particularly
detect
existing
objects
(PF5)
misclassification
(PF6).
Mitigation
strategies
proposed
sensors,
perception,
decision-making,
motion
control
reduce
risk.
approach
provides
quantification,
offering
designers
refined
improve
safety.
Vehicles,
Journal Year:
2024,
Volume and Issue:
6(1), P. 553 - 570
Published: March 19, 2024
This
article
presents
a
case
study
on
estimating
the
real
service
inspection
intervals
for
German-brand
passenger
cars
in
Kazakhstan
and
Poland.
aimed
to
identify
disparities
between
official
recommendations
of
manufacturers
car
maintenance
data
collected
these
two
countries.
The
following
were
examined:
Audi
A6,
Q5,
Q8;
Porsche
Cayenne
coupe;
Volkswagen
Passat,
Polo,
Teramont,
Tiguan,
Touareg,
Arteon,
Golf,
T-Cross,
Tiguan
all
space,
Touran,
T-Roc,
Up.
To
assess
difference
recommended
values,
manufacturer
criteria
mileage
15,000
30,000
km
or
time
frame
365
730
days
first
applied.
analysis
showed
that
Kazakhstan,
31.4%
did
not
meet
warranty
conditions,
while
Poland,
it
was
21.0%.
dominant
criterion
met
criterion.
assessment
factors
emphasizes
importance
customizing
vehicle
schedules
specific
conditions
driving
behaviors
prevalent
each
country.
practical
contribution
lies
uncovering
discrepancies
actual
By
identifying
models,
Touareg
Up
which
deviated
significantly
from
those
recommended,
this
offers
valuable
insights
optimizing
improving
efficiency
practices
From
scientific
perspective,
contributes
by
providing
empirical
evidence
real-world
cars.
<div
class="section
abstract"><div
class="htmlview
paragraph">While
weaponizing
automated
vehicles
(AVs)
seems
unlikely,
cybersecurity
breaches
may
disrupt
driving
systems’
navigation,
operation,
and
safety—especially
with
the
proliferation
of
vehicle-to-everything
(V2X)
technologies.
The
design,
maintenance,
management
digital
infrastructure,
including
cloud
computing,
V2X,
communications,
can
make
difference
in
whether
AVs
operate
gain
consumer
regulator
confidence
more
broadly.
Effective
standards,
physical
security
practices,
well-thought-out
design
provide
a
layered
approach
to
avoiding
mitigating
cyber
for
advanced
driver
assistance
systems
alike.
Addressing
be
key
unlocking
benefits
safety,
reduced
emissions,
operations,
navigation
that
rely
on
external
communication
vehicle.</div><div
paragraph"><b>Automated
Vehicles
Infrastructure
Enablers:
Cybersecurity</b>
focuses
considerations
regarding
from
perspective
V2X
electric
charging
infrastructure.
These
issues
are
examined
context
initiatives
US
at
all
levels
government
regulatory
frameworks
UK,
Europe,
Asia.</div><div
paragraph"><a
href="https://www.sae.org/publications/edge-research-reports"
target="_blank">Click
here
access
full
SAE
EDGE</a><sup>TM</sup><a
target="_blank">
Research
Report
portfolio.</a></div></div>
Vehicles,
Journal Year:
2024,
Volume and Issue:
6(4), P. 1769 - 1800
Published: Oct. 4, 2024
Unmanned
aerial
vehicles
(UAVs)
have
emerged
as
a
promising
technology
to
enhance
the
performance
and
functionality
of
mobile
networks.
UAVs
can
act
flying
base
stations,
relays,
or
users
provide
wireless
services
ground
devices.
However,
optimal
placement
trajectory
design
in
networks
is
challenging
problem,
it
involves
multiple
objectives,
constraints,
uncertainties.
In
this
paper,
we
comprehensive
survey
state-of-the-art
research
on
UAV
optimization
cellular
We
first
introduce
main
objectives
challenges
optimization,
such
maximizing
coverage,
throughput,
energy
efficiency,
reliability,
while
minimizing
interference,
delay,
cost.
also
examine
primary
models
assumptions
employed
for
including
channel
models,
mobility
network
architectures,
constraints.
Additionally,
discuss
methods
algorithms
optimization.
These
include
techniques,
heuristic
algorithms,
machine
learning
approaches,
distributed
solutions.
Analytical
results,
numerical
simulations,
experimental
tests
are
further
discussed
metrics
evaluation
used
highlight
applications
scenarios
offloading,
emergency
communications,
stations.
Finally,
identify
some
open
problems
future
directions
