A Review of Transportation 5.0: Advancing Sustainable Mobility Through Intelligent Technology and Renewable Energy
Future Transportation,
Journal Year:
2025,
Volume and Issue:
5(1), P. 8 - 8
Published: Jan. 14, 2025
Transportation
5.0
is
an
advanced
and
sophisticated
system
combining
technologies
with
a
focus
on
human-centered
design
inclusivity.
Its
various
components
integrate
intelligent
infrastructure,
autonomous
vehicles,
shared
mobility
services,
green
energy
solutions,
data-driven
systems
to
create
efficient
sustainable
transportation
network
tackle
modern
urban
challenges.
However,
this
evolution
of
also
intended
improve
accessibility
by
creating
environmentally
benign
substitutes
for
traditional
fuel-based
even
when
addressing
traffic
management
control
issues.
Consequently,
promote
synergy
sustainability,
the
diversified
nature
ought
be
efficiently
effectively
managed.
Thus,
study
aims
reveal
involvement
core
component
prediction
in
through
systematic
literature
review.
This
contemplates
causal
model
under
dynamics
modeling
order
address
solutions
movement
toward
sustainability
context
5.0.
From
review,
addition
developed
model,
it
identified
that
every
method
reduces
environmental
impact
while
increasing
passenger
convenience
overall
efficiency
transport
network,
greater
improvements
developing
nations.
As
variety
options,
including
electric
successfully
integrated,
will
eventually
enable
mobility,
multimodal
transit
options.
Language: Английский
Electric Vehicles: Paving the Way for Sustainable Green Transportation and Environmental Protection
Lecture notes in intelligent transportation and infrastructure,
Journal Year:
2025,
Volume and Issue:
unknown, P. 67 - 89
Published: Jan. 1, 2025
Language: Английский
Optimal Pricing, Subsidies, and Cost-Sharing Rate in Fuel Cell Bus Supply Chain: A Nash and Stackelberg Framework Analysis
Energy,
Journal Year:
2025,
Volume and Issue:
unknown, P. 135603 - 135603
Published: March 1, 2025
Language: Английский
Evaluating government policies promoting electric vehicles, considering battery technology, energy saving, and charging infrastructure development: A game theoretic approach
Applied Energy,
Journal Year:
2025,
Volume and Issue:
390, P. 125799 - 125799
Published: April 3, 2025
Language: Английский
Hydropower-driven electric vehicle infrastructure in the Himalayan region: Integration dynamics and strategic SWOT analysis for sustainable transportation
Vedant Singh,
No information about this author
Harbansh Singh,
No information about this author
Tej Singh
No information about this author
et al.
Energy Sustainable Development/Energy for sustainable development,
Journal Year:
2025,
Volume and Issue:
87, P. 101732 - 101732
Published: April 11, 2025
Language: Английский
How can stakeholders collaborate to promote the interconnection of charging infrastructure? A tripartite evolutionary game analysis
Baiyun Yuan,
No information about this author
Jiaming Zhu,
No information about this author
Zhuo Chen
No information about this author
et al.
Expert Systems with Applications,
Journal Year:
2024,
Volume and Issue:
255, P. 124798 - 124798
Published: July 15, 2024
Language: Английский
Can Subsidy Policies Achieve Fuel Cell Logistics Vehicle (FCLV) Promotion Targets? Evidence from the Beijing-Tianjin-Hebei Fuel Cell Vehicle Demonstration City Cluster in China
Energy,
Journal Year:
2024,
Volume and Issue:
unknown, P. 133270 - 133270
Published: Oct. 1, 2024
Language: Английский
Study on the Impact of Environmental Subsidies and Green Labels on Greenwashing in Sustainable Production
Journal of Cleaner Production,
Journal Year:
2024,
Volume and Issue:
unknown, P. 144531 - 144531
Published: Dec. 1, 2024
Language: Английский
Incorporating policy mixes to multimodal network capacity considering second-best constraints
Ziyan Ju,
No information about this author
Muqing Du,
No information about this author
Shukang Zheng
No information about this author
et al.
Transportmetrica A Transport Science,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 30
Published: Oct. 25, 2024
In
the
pursuit
of
capacity-oriented
urban
sustainable
development
(SD),
this
study
aims
to
enhance
multimodal
transport
network
by
making
it
more
accessible,
efficient,
and
environmentally
friendly.
A
framework
combining
policy
mixes
second-best
constraints
is
developed
as
a
transportation
capacity
(TNC)
model
with
bi-level
programming
(BLP)
formulation.
The
upper-level
maximise
total
origin-destination
(OD)
demand
considering
constraints.
lower-level
combined
mode
split
traffic
assignment
elastic
(CMSTA-ED)
which
considers
mixes.
Numerical
experiments
are
conducted
demonstrate
effectiveness
hybrid
PSO–GWO
algorithm,
synergy
method
for
selecting
mixing
instruments
based
on
proposed
assessment
system,
methodology
establish
mix.
findings
research
offer
practical
guidance
formulating
well-informed
no-redundant
mixes,
contributing
improvement
performance.
Language: Английский