Internet of Things and Artificial Intelligence in Transportation Revolution

The advent of Internet of Things offers a scalable and seamless connection of physical objects, including human beings and devices. This, along with artificial intelligence, has moved transportation towards becoming intelligent transportation. This book is a collection of eleven articles that have s...

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Формат: Online
Мова:Англійська
Опубліковано: MDPI - Multidisciplinary Digital Publishing Institute 2021
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Онлайн доступ:ONIX_20210501_9783036503103_316
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collection Directory of Open Access Books
description The advent of Internet of Things offers a scalable and seamless connection of physical objects, including human beings and devices. This, along with artificial intelligence, has moved transportation towards becoming intelligent transportation. This book is a collection of eleven articles that have served as examples of the success of internet of things and artificial intelligence deployment in transportation research. Topics include collision avoidance for surface ships, indoor localization, vehicle authentication, traffic signal control, path-planning of unmanned ships, driver drowsiness and stress detection, vehicle density estimation, maritime vessel flow forecast, and vehicle license plate recognition. High-performance computing services have become more affordable in recent years, which triggered the adoption of deep-learning-based approaches to increase the performance standards of artificial intelligence models. Nevertheless, it has been pointed out by various researchers that traditional shallow-learning-based approaches usually have an advantage in applications with small datasets. The book can provide information to government officials, researchers, and practitioners. In each article, the authors have summarized the limitations of existing works and offered valuable information on future research directions.
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-685702024-04-11T15:11:26Z Internet of Things and Artificial Intelligence in Transportation Revolution Lytras, Miltiadis Chui, Kwok Tai Liu, Ryan Wen decision-making autonomous navigation collision avoidance scene division deep reinforcement learning maritime autonomous surface ships internet of things crowdsourcing indoor localization data fusion security authentication Inertial Measurement Units road transportation traffic signal control speed guidance vehicle arrival time connected vehicle unmanned ships DDPG autonomous path planning end-to-end at-risk driving deep support vector machine driver drowsiness driver stress multi-objective genetic algorithm multiple kernel learning urban freeway hybrid dynamic system state transition unknown inputs observer vehicle density maritime vessel flows intelligent transportation systems deep learning automatic license plate recognition intelligent vehicle access histogram of oriented gradients artificial neural networks convolutional neural networks time-frequency Inertial Measurement Unit (IMU) road anomalies n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The advent of Internet of Things offers a scalable and seamless connection of physical objects, including human beings and devices. This, along with artificial intelligence, has moved transportation towards becoming intelligent transportation. This book is a collection of eleven articles that have served as examples of the success of internet of things and artificial intelligence deployment in transportation research. Topics include collision avoidance for surface ships, indoor localization, vehicle authentication, traffic signal control, path-planning of unmanned ships, driver drowsiness and stress detection, vehicle density estimation, maritime vessel flow forecast, and vehicle license plate recognition. High-performance computing services have become more affordable in recent years, which triggered the adoption of deep-learning-based approaches to increase the performance standards of artificial intelligence models. Nevertheless, it has been pointed out by various researchers that traditional shallow-learning-based approaches usually have an advantage in applications with small datasets. The book can provide information to government officials, researchers, and practitioners. In each article, the authors have summarized the limitations of existing works and offered valuable information on future research directions. 2021-05-01T15:14:56Z 2021-05-01T15:14:56Z 2021 book ONIX_20210501_9783036503103_316 9783036503103 9783036503110 https://directory.doabooks.org/handle/20.500.12854/68570 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3591 https://mdpi.com/books/pdfview/book/3591 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0311-0 10.3390/books978-3-0365-0311-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036503103 9783036503110 232 Basel, Switzerland open access
spellingShingle decision-making
autonomous navigation
collision avoidance
scene division
deep reinforcement learning
maritime autonomous surface ships
internet of things
crowdsourcing
indoor localization
data fusion
security
authentication
Inertial Measurement Units
road transportation
traffic signal control
speed guidance
vehicle arrival time
connected vehicle
unmanned ships
DDPG
autonomous path planning
end-to-end
at-risk driving
deep support vector machine
driver drowsiness
driver stress
multi-objective genetic algorithm
multiple kernel learning
urban freeway
hybrid dynamic system
state transition
unknown inputs observer
vehicle density
maritime vessel flows
intelligent transportation systems
deep learning
automatic license plate recognition
intelligent vehicle access
histogram of oriented gradients
artificial neural networks
convolutional neural networks
time-frequency
Inertial Measurement Unit (IMU)
road anomalies
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Internet of Things and Artificial Intelligence in Transportation Revolution
title Internet of Things and Artificial Intelligence in Transportation Revolution
title_full Internet of Things and Artificial Intelligence in Transportation Revolution
title_fullStr Internet of Things and Artificial Intelligence in Transportation Revolution
title_full_unstemmed Internet of Things and Artificial Intelligence in Transportation Revolution
title_short Internet of Things and Artificial Intelligence in Transportation Revolution
title_sort internet of things and artificial intelligence in transportation revolution
topic decision-making
autonomous navigation
collision avoidance
scene division
deep reinforcement learning
maritime autonomous surface ships
internet of things
crowdsourcing
indoor localization
data fusion
security
authentication
Inertial Measurement Units
road transportation
traffic signal control
speed guidance
vehicle arrival time
connected vehicle
unmanned ships
DDPG
autonomous path planning
end-to-end
at-risk driving
deep support vector machine
driver drowsiness
driver stress
multi-objective genetic algorithm
multiple kernel learning
urban freeway
hybrid dynamic system
state transition
unknown inputs observer
vehicle density
maritime vessel flows
intelligent transportation systems
deep learning
automatic license plate recognition
intelligent vehicle access
histogram of oriented gradients
artificial neural networks
convolutional neural networks
time-frequency
Inertial Measurement Unit (IMU)
road anomalies
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
topic_facet decision-making
autonomous navigation
collision avoidance
scene division
deep reinforcement learning
maritime autonomous surface ships
internet of things
crowdsourcing
indoor localization
data fusion
security
authentication
Inertial Measurement Units
road transportation
traffic signal control
speed guidance
vehicle arrival time
connected vehicle
unmanned ships
DDPG
autonomous path planning
end-to-end
at-risk driving
deep support vector machine
driver drowsiness
driver stress
multi-objective genetic algorithm
multiple kernel learning
urban freeway
hybrid dynamic system
state transition
unknown inputs observer
vehicle density
maritime vessel flows
intelligent transportation systems
deep learning
automatic license plate recognition
intelligent vehicle access
histogram of oriented gradients
artificial neural networks
convolutional neural networks
time-frequency
Inertial Measurement Unit (IMU)
road anomalies
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
url ONIX_20210501_9783036503103_316