Internet of Things and Artificial Intelligence in Transportation Revolution

• Other Authors: Lytras, Miltiadis (Editor), Chui, Kwok Tai (Editor), Liu, Ryan Wen (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Subjects: 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
• Online Access: 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...