Internet of Things and Artificial Intelligence in Transportation Revolution

• अन्य लेखक: Lytras, Miltiadis (संपादक), Chui, Kwok Tai (संपादक), Liu, Ryan Wen (संपादक)
• स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
• भाषा: अंग्रेज़ी
• प्रकाशित: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• विषय: History of engineering & technology; 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
• ऑनलाइन पहुंच: DOAB: download the publication; DOAB: description of the publication

सारांश

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.

भौतिक वर्णन

1 electronic resource (232 p.)

आईएसबीएन

books978-3-0365-0311-0
9783036503103
9783036503110

अभिगमन

Open Access