Smart Transportation: An Overview of Technologies and Applications
Italian National Conference on Sensors, 2023 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
Graph Neural Networks for Intelligent Transportation Systems: A Survey
IEEE transactions on intelligent transportation systems (Print), 2023 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
6G Enabled Advanced Transportation Systems [PDF]
IEEE transactions on intelligent transportation systems (Print), 2023 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
Liquid Hydrogen: A Review on Liquefaction, Storage, Transportation, and Safety
Energies, 2021 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
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey [PDF]
IEEE transactions on intelligent transportation systems (Print), 2020 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
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction [PDF]
Italian National Conference on Sensors, 2017 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
A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation
Data Science and Engineering, 2021 Intelligent transportation (e.g., intelligent traffic light) makes our travel more convenient and efficient. With the development of mobile Internet and position technologies, it is reasonable to collect spatio-temporal data and then leverage these data ...
Haitao Yuan, Guoliang Li
semanticscholar +1 more source
Acknowledgment to the Reviewers of Future Transportation in 2022
Future Transportation, 2023 High-quality academic publishing is built on rigorous peer review [...]
Future Transportation Editorial Office
doaj +1 more source
COVID-19 and Public Transportation: Current Assessment, Prospects, and Research Needs
Journal of Public Transportation, 2020 The COVID-19 pandemic poses a great challenge for contemporary public transportation worldwide, resulting from an unprecedented decline in demand and revenue. In this paper, we synthesize the state-of-the-art, up to early June 2020, on key developments
Alejandro Tirachini, O. Cats
semanticscholar +1 more source
Transportation barriers, loneliness, and depressive/anxiety symptoms in older adults. [PDF]
Innov AgingChoi NG, Marti CN.
europepmc +2 more sources