Internet of Things and Artificial Intelligence in Transportation Revolution

• その他の著者: Lytras, Miltiadis (編集者), Chui, Kwok Tai (編集者), Liu, Ryan Wen (編集者)
• フォーマット: 電子媒体 図書の章
• 言語: 英語
• 出版事項: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• 主題: 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
• オンライン･アクセス: DOAB: download the publication; DOAB: description of the publication

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...