IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 145428 - 145438
Published: Jan. 1, 2024
In
the
second
autonomy
stage
in
autonomous
ships,
reducing
number
of
bridge
operators
may
increase
risk
accidents
due
to
human
error,
especially
loss
situational
awareness
collision
situations.
Because
and
remote-control
systems
are
not
yet
well
developed,
play
a
critical
role
preventing
accidents.
However,
most
recent
studies
have
focused
on
technical
development
paying
only
little
attention
monitoring
operators.
Similar
driver-monitoring
vehicles,
there
is
need
monitor
ships.
this
study,
we
developed
model
for
evaluating
situation
(CRSA)
based
their
behavior.
The
results
show
that
effective
predicting
CRSA
promising
practical
applications.
Ocean Engineering,
Journal Year:
2024,
Volume and Issue:
309, P. 118444 - 118444
Published: June 25, 2024
Maritime
autonomous
surface
ships
(MASS),
presenting
the
future
of
maritime
transport,
are
attracting
increasing
attention
from
international
community.
The
collision
risk
analysis
MASS
reveals
unsolved
challenges,
which
without
appropriate
solutions,
will
result
in
error
prone
development
relevant
control
measures
and
policies.
Among
two
significant
ones
existing
literature
lack
historical
failure
data
to
realise
quantitative
assessment,
2)
complex
causal
relationship
among
factors.
This
paper
aims
develop
a
new
Fault
Tree
Analysis-Fuzzy
Bayesian
Network
(FTA-FBN)
model
conduct
assessment
with
uncertainty
data.
First,
it
establishes
factors
through
an
FTA.
Secondly,
mapping
obtained
FTA
diagram
into
BN
allows
fault
diagnosis
identification
most
important
influencing
collisions.
In
this
process,
survey
is
conducted
collect
primary
for
configuring
conditional
probabilities
influential
quantifying
developed
prediction.
Finally,
verified
by
using
sensitivity
three
axioms
then
applied
scenario-based
prediction
generate
insightful
findings
guide
navigation
safety.
results
demonstrate
that
FTA-FBN
realizes
simplification
expert
scoring
reduces
computational
complexity,
addresses
challenge
constructing
relationships
between
collisions
their
due
scarcity
accident
Additionally,
backward
reasoning
identifies
key
risks,
including
external
physical
attacks,
inadequate
training
shore-based
operators,
insufficient
maintenance
ship
equipment
systems,
cyber-security
threats.
when
being
adapted,
can
provide
reference
formulation
safe
policies
insights
shipping
companies
ensure
shipbuilders
optimise
design.
Ocean Engineering,
Journal Year:
2024,
Volume and Issue:
307, P. 118174 - 118174
Published: May 23, 2024
Despite
the
progress
in
autonomous
ship
technology,
unknown
risks
persist
design,
operation,
and
regulation
of
maritime
surface
ships.
A
comprehensive
literature
review
for
hazard
identification
risk
analysis
method
ships
is
currently
lacking.
Based
on
a
database
62
relevant
literatures,
this
study
presents
distribution
literatures
by
journal,
year
publication,
country
or
region
authorship,
institution.
To
gain
further
insights
into
research
hotpots
frequently
neglected
influential
factors,
are
classified
four
groups
based
categories
list
factors
compiled.
this,
content
analysed
with
respect
to
human
ship-related
environmental
technology
factors.
Furthermore,
statistical
conducted
23
related
systematic
terms
data
sources
methods,
noting
that
researchers
commonly
utilize
datasets
combination
methods.
This
not
only
contributes
understanding
current
status
challenges
but
also
provides
potential
future
directions.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(4), P. 1577 - 1577
Published: Feb. 14, 2025
The
development
of
inland
waterway
transport
systems
is
crucial
to
achieving
sustainable
transportation
by
reducing
environmental
impact,
improving
safety,
and
supporting
economic
efficiency.
However,
the
varying
geographic,
climatic,
infrastructure
conditions
between
regions
make
it
challenging
evaluate
compare
these
systems.
This
study
aims
address
this
gap
proposing
a
maturity
model
for
assessing
using
example
navigation,
designed
benchmark
based
on
key
parameters
such
as
fleet
characteristics,
infrastructure,
management
processes.
proposed
identifies
five
levels,
ranging
from
basic
advanced
functionality.
Using
model,
Polish
system
was
analyzed
case
assess
its
current
identify
areas
development.
results
indicate
that
while
demonstrates
strengths
in
certain
aspects,
coherence
linear
there
are
significant
gaps
modernization
integration
technologies.
highlights
potential
strategic
tool
planning
decision-making
sector.
Future
work
will
focus
refining
enhance
applicability
comprehensiveness.
Journal of Marine Science and Engineering,
Journal Year:
2024,
Volume and Issue:
12(9), P. 1536 - 1536
Published: Sept. 3, 2024
The
melting
of
Arctic
ice
has
facilitated
the
successful
navigation
merchant
ships
through
route,
often
requiring
icebreakers
for
assistance.
To
reduce
risk
accidents
between
vessels
and
stemming
from
human
errors
during
operations,
this
paper
introduces
an
enhanced
reliability
assessment
approach.
This
method
utilizes
Dynamic
Bayesian
Network
(DBN)
model,
integrated
with
information,
decision,
action
in
crew
context
(IDAC)
framework.
First,
a
qualitative
analysis
maneuvering
behavior
scenarios
involving
collision
preceding
vessel
icebreaker
assistance
is
conducted
using
IDAC
model.
Second,
D–S
evidence
theory
cloud
models
are
to
process
multi-source
subjective
data.
Finally,
error
probability
members
quantified
DBN.
research
results
indicate
that
convoy
maximum
officer
on
watch
(OOW)
chooses
incorrect
deceleration
strategy
8.259×10−2
4.129×10−3.
Furthermore,
study
also
found
factors
Team
Effectiveness
Knowledge/Abilities
operations
have
greatest
impact
occurrence.
provides
important
guidance
recommendations
safe
waters.
By
reducing
adopting
appropriate
preventive
measures,
collisions
can
be
significantly
decreased.
Frontiers in Marine Science,
Journal Year:
2024,
Volume and Issue:
11
Published: Nov. 12, 2024
To
address
human
errors
in
collision
avoidance
tasks
of
remotely
controlled
ships,
this
study
aims
to
develop
a
comprehensive
framework
for
error
analysis
within
the
context
autonomous
ships.
Firstly,
Hierarchical
Task
Analysis
method
is
utilized
identify
crew
associated
with
traditional
ship,
and
these
are
then
dissected
into
different
operational
stages
using
Information
Decision
Action
Crew
cognitive
model.
Secondly,
combination
fault
hypothesis
expert
opinions
used
potential
that
may
occur
during
operations
Thirdly,
an
integrated
approach
proposed
build
quantitative
risk
assessment
model,
which
combines
Failure
Mode
Effects
Analysis,
Evidential
Reasoning,
Belief
rules-based
Bayesian
Network.
Then,
axiomatic
verify
robustness
applicability
Finally,
based
on
results
assessment,
specific
measures
enhancing
safety
process
The
findings
show
uncoordinated
interactions
human-computer
systems
decision-making
stage
pivotal
factor
process.
Therefore,
future
design
efforts
remote-control
centre
should
prioritize
improving
clarity
interaction
interfaces.
