Understanding
driver
behavior
is
crucial
for
enhancing
road
safety
and
improving
fuel
efficiency.
However,
collecting
data
on
these
behaviors
in
real-world
settings
challenging
due
to
vehicle
complexity
high
instrumentation
costs.
Driving
simulators
offer
a
viable
alternative
by
creating
environments
that
replicate
real-life
situations.
This
study
explores
the
use
of
digital
twins
simulated
environments,
specifically
Euro
Truck
Simulator
2
(ETS2),
infer
using
virtual
sensors.
A
case
was
conducted
where
routes
under
two
driving
conditions:
cautious
aggressive.
The
telemetry
collected
during
simulations
were
analyzed
identify
behavioral
patterns
assess
consumption
results
demonstrated
enable
real-time
capture
information,
revealing
significant
differences
between
styles.
Analysis
accumulated
radar
area
soft
sensor
indicated
practices
are
associated
with
greater
Ergonomics,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 17
Published: Jan. 5, 2025
Despite
recent
advances
in
technology
use
for
education
and
training,
the
approach
to
pilot
training
over
past
several
decades
has
largely
remained
unchanged.
Student
pilots
complete
their
actual
aircraft,
with
very
few
flight
hours
conducted
devices.
This
study
aimed
investigate
effectiveness
of
various
levels
simulator
fidelity
on
ab
initio
training.
Thirty
student
were
invited
train
using
a
virtual
reality
simulator,
desktop
or
device.
Performance
was
evaluated
modified
Transport
Canada
Flight
Test
Guide
alongside
NASA
Task
Load
Index,
Subjective
Stress
Scale,
Simulator
Sickness
Questionnaire,
giving
insight
into
mental
workload,
stress,
experience
sickness,
respectively.
Findings
show
potential
simulators
regarding
procedural
tasks;
however,
trainees
must
be
aware
limitations
have
concerning
aircraft
handling
tasks.
Journal of Road Safety,
Journal Year:
2025,
Volume and Issue:
36(1)
Published: Feb. 6, 2025
Ecuador
faces
a
critical
road
safety
challenge,
characterised
by
high
crash
rates
and
concerning
driver
behaviours.
The
existing
education
licensing
processes
have
proven
inadequate,
underscoring
an
urgent
need
for
comprehensive
reform.
This
study
proposes
Driver
Learning
System
(DLS)
Ecuador,
specifically
designed
to
tackle
these
issues.
Central
the
DLS
is
implementation
of
three-stage
Graduated
Licensing
(GDL)
system,
which
promotes
progressive
skill
development
low-risk
driving
among
novice
drivers.
proposal
also
includes
thorough
revision
curricula,
emphasising
risk
awareness,
technological
integration,
lifelong
learning
across
all
licence
categories.
GDL
system
was
informed
analysis
local
statistics
behaviour
studies,
identifying
areas
Despite
potential
significantly
reduce
traffic
crashes
in
challenges
such
as
stakeholder
resistance
funding
infrastructure
improvements
remain.
Addressing
obstacles
will
be
essential
successful
DLS.
GDL,
supplemented
robust
public
awareness
campaign,
represents
promising
path
toward
transforming
culture
enhancing
Ecuador.
Frontiers in Virtual Reality,
Journal Year:
2025,
Volume and Issue:
6
Published: March 3, 2025
Simulator
sickness
(SS)
poses
significant
challenges
in
the
widespread
adoption
of
driving
simulators
for
traffic
research,
training,
and
other
applications.
This
study
investigates
effects
gender,
age,
environment,
gaming
experience
on
SS
a
desktop
simulator,
using
sample
363
Swedish
police
trainees.
Participants
completed
Sickness
Questionnaire
(SSQ)
after
simulator
sessions
involving
either
city
or
country
road
scenarios.
Results
revealed
that
females
experienced
significantly
higher
emerging
as
most
influential
predictor
multiple
regression
model.
Age
also
positively
correlated
with
SS,
older
participants
reporting
more
severe
symptoms.
Rural
scenarios
induced
than
traffic.
Although
prior
reduced
symptoms
univariate
analyses,
it
was
not
These
findings
emphasize
need
personalized
design
tailored
scenario
optimization
to
reduce
sickness,
promoting
an
inclusive
accessible
educational
experience.
aligns
broader
goals
equity
excellence
professional
training
programs.
Future
research
should
expand
these
by
exploring
age
range
different
types.
Вестник Академии гражданской авиации,
Journal Year:
2025,
Volume and Issue:
36(1)
Published: March 1, 2025
This
research
explores
the
creation
of
a
novel
training
complex
designed
specifically
for
technical
management
military
and
specialized
aviation
equipment.
The
study
is
driven
by
need
to
improve
efficiency
engineering
staff,
given
increasing
complexity
systems
growing
emphasis
on
safety.
main
objective
this
develop
an
adaptive
educational
platform
that
integrates
digital
twins
systems,
fault
diagnosis
algorithms,
intelligent
methods
personalize
process.
architecture
comprehensive
support
system
was
devised,
which
includes
data
collection,
modeling,
analytics.
features
learning
algorithm
takes
into
account
trainee's
skill
level,
experience,
progress,
automatically
adjusting
curriculum
accordingly.
By
incorporating
virtual
simulators
simulation
models,
closely
mirrors
actual
operating
conditions
equipment,
providing
more
immersive
effective
environment.
To
evaluate
effectiveness
proposed
system,
experimental
testing
conducted
with
two
groups
personnel:
group,
used
control
followed
traditional
methods.
results
revealed
new
led
22%
reduction
in
response
time
emergencies,
30%
errors,
18%
improvement
accuracy
procedure
execution.
highly
flexible
can
be
customized
integrated
modern
predictive
diagnostic
aircraft
malfunctions.
Implementing
such
development
specialists
will
enhance
safety,
reliability,
economic
operations.
Systems,
Journal Year:
2025,
Volume and Issue:
13(5), P. 329 - 329
Published: April 29, 2025
Conducting
research
on
the
effectiveness
of
driving
simulators
is
great
significance
for
enhancing
availability
simulator
systems.
However,
in
risky
environments,
traditional
methods
have
limitation
making
it
difficult
to
conduct
real
vehicle
experiments.
Therefore,
this
study
proposes
a
method
based
driver
physiological
indicators
evaluate
environments.
On
one
hand,
two-dimensional
extended
time
collision
theoretical
model
(2D-TTC)
was
used
calculate
risk
degree.
Then,
similarity
between
degree
and
drivers’
electrocardiogram
(ECG),
electromyogram
(EMG),
electrodermal
activity
(EDA)
data
sequences
calculated
dynamic
warping
(DTW)
model.
other
we
complexity
sample
entropy
ECG
EMG
as
assess
load.
This
paper
intersections
scenarios
simulation
experiments
verify
feasibility
above
method.
It
found
that
changes
were
consistent
with
degree,
DTW
values
EDA
tending
become
smaller
two
sequence
closer
being
similar.
also
driver’s
showed
higher
simulated
poor
sight
intersection
scenario
compared
good
sight.
In
addition,
heavy
traffic
scenario,
parameters
such
entropy,
well
complexity,
than
low
flow
intersection.
These
findings
are
highly
characteristics
responses
fully
demonstrating
test-driving
system
simulating
scenarios.
The
proposed
overcomes
limitations
approaches
effectively
validates
systems
results
can
drive
further
development
application
technology.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(6), P. e27668 - e27668
Published: March 1, 2024
The
increasing
use
of
road
traffic
for
land
transportation
has
resulted
in
numerous
accidents
and
casualties,
including
those
involving
oil
gas
tanker
vehicles.
Despite
this,
little
empirical
research
been
conducted
on
the
factors
influencing
drivers'
performance.
This
study
aims
to
address
this
knowledge
gap,
particularly
energy
industry,
by
examining
driving
performance
that
affect
drivers
incorporating
risk
assessment
measures.
model
variables
were
identified
from
literature
used
develop
a
survey
questionnaire
study.
A
total
307
surveys
collected
Malaysian
drivers,
contextually
adjusted
using
Exploratory
Factor
Analysis
(EFA)
approach.
was
developed
partial
least
squares
structural
equation
modeling
(PLS-SEM).
EFA
results
categorized
into
two
constructs:
1)
reaction
time
with
β
=
0.320
2)
attention
vigilance
value
0.749.
proposed
provided
full
insight
how
time,
attention,
impact
sector,
which
can
help
identify
potential
risks
prevent
accidents.
findings
are
significant
understanding
aid
enhancing
management
effective
measures
fatal
crashes.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(13), P. 4417 - 4417
Published: July 8, 2024
Virtual
reality
(VR)
driving
simulators
are
very
promising
tools
for
driver
assessment
since
they
provide
a
controlled
and
adaptable
setting
behavior
analysis.
At
the
same
time,
wearable
sensor
technology
provides
well-suited
valuable
approach
to
evaluating
of
drivers
their
physiological
or
psychological
state.
This
review
paper
investigates
potential
sensors
in
VR
simulators.
Methods:
A
literature
search
was
performed
on
four
databases
(Scopus,
Web
Science,
Science
Direct,
IEEE
Xplore)
using
appropriate
terms
retrieve
scientific
articles
from
period
eleven
years,
2013
2023.
Results:
After
removing
duplicates
irrelevant
papers,
44
studies
were
selected
Some
important
aspects
extracted
presented:
number
publications
per
year,
countries
publication,
source
publications,
study
aims,
characteristics
participants,
types
sensors.
Moreover,
an
analysis
discussion
different
provided.
To
improve
car
that
use
virtual
technologies
boost
effectiveness
particular
training
programs,
data
included
this
systematic
those
scheduled
upcoming
years
may
be
interest.
Transport Problems,
Journal Year:
2024,
Volume and Issue:
19(2), P. 19 - 32
Published: June 30, 2024
The
second
decade
of
the
21st
century
saw
introduction
vehicles
equipped
with
various
driver
assistance
systems.
However,
producers'
plans
go
much
further.
In
January
2023,
Mercedes-Benz's
DRIVE
PILOT
system
was
approved
for
use
on
public
roads
in
Nevada
(United
States)
as
first
and
so
far
only
SAE
Level
3
series-production
solution.
Despite
increasing
automation,
human
factor
remains
important
safety
efficiency
road
transport.
coming
years,
possibly
decades,
this
will
mainly
be
due
to
co-existence
varying
degrees
automation
necessary
driver-vehicle
interactions
cases
where
an
automated
driving
crosses
boundaries
operational
design
domain.
latest
research
reveals
limitations
systems,
pointing
not
need
changes
technological
domain
but
also
pay
more
attention
psychological
aspects
using
systems
cognitive
behavioral
areas.
Therefore,
additional
element
implementation
should
considered,
which
is
training
focused
modern
solutions.
Properly
arranged
conducted
can
treated
facilitating
mobility.
article
describes
methods
assessing
effectiveness
terms
familiarizing
drivers
functions
that
automate
driving.
authors
present
results
tests
carried
out
a
simulator
implemented
4
(according
classification).
Three
forms
knowledge
transfer
were
analyzed:
practical
training,
e-learning,
short
user
manual.
compared
interaction
(e.g.,
activation),
ensuring
sufficiently
reactive
dangerous
situations
understands
system.
group
81
aged
18–65.
Driver
one
main
pillars
Trustonomy
project,
received
funding
from
EU
innovation
program
Horizon
2020
under
grant
agreement
No.
815003.