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New roads and challenges for fuel cells in heavy-duty transportation
David A Cullen +2 more
exaly +2 more sources
Synthesis of Transportation Fuels from Biomass: Chemistry, Catalysts, and Engineering
George W Huber +2 more
exaly +2 more sources
Smart Transportation: An Overview of Technologies and Applications
As technology continues to evolve, our society is becoming enriched with more intelligent devices that help us perform our daily activities more efficiently and effectively.
Damilola Oladimeji +5 more
semanticscholar +1 more source
6G Enabled Advanced Transportation Systems [PDF]
With the emergence of communication services with stringent requirements such as autonomous driving or on- flight Internet, the sixth-generation (6G) wireless network is envisaged to become an enabling technology for future transportation systems.
Ruiqi Liu +8 more
semanticscholar +1 more source
Graph Neural Networks for Intelligent Transportation Systems: A Survey
Graph neural networks (GNNs) have been extensively used in a wide variety of domains in recent years. Owing to their power in analyzing graph-structured data, they have become broadly popular in intelligent transportation systems (ITS) applications as ...
Saeed Rahmani +3 more
semanticscholar +1 more source
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey [PDF]
Latest technological improvements increased the quality of transportation. New data-driven approaches bring out a new research direction for all control-based systems, e.g., in transportation, robotics, IoT and power systems.
Ammar Haydari, Y. Yilmaz
semanticscholar +1 more source
Liquid Hydrogen: A Review on Liquefaction, Storage, Transportation, and Safety
Decarbonization plays an important role in future energy systems for reducing greenhouse gas emissions and establishing a zero-carbon society. Hydrogen is believed to be a promising secondary energy source (energy carrier) that can be converted, stored ...
M. Aziz
semanticscholar +1 more source
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction [PDF]
This paper proposes a convolutional neural network (CNN)-based method that learns traffic as images and predicts large-scale, network-wide traffic speed with a high accuracy. Spatiotemporal traffic dynamics are converted to images describing the time and
Xiaolei Ma +5 more
semanticscholar +1 more source
Urban air mobility (UAM), if successful, will disrupt urban transportation. UAM is not the first disruptive technology in transportation, with recent examples including electric ground vehicles (EVs), autonomous ground vehicles (AVs), and sharing ...
L. Garrow +2 more
semanticscholar +1 more source
Acknowledgment to the Reviewers of Future Transportation in 2022
High-quality academic publishing is built on rigorous peer review [...]
Future Transportation Editorial Office
doaj +1 more source

