Cover Image
Read Now

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...

Full description

Bibliographic Details
Main Author: Lytras, Miltiadis
Other Authors: Chui, Kwok Tai, Liu, Ryan Wen
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
At-risk Driving
Automatic License Plate Recognition
Unknown Inputs Observer
Maritime Vessel Flows
Crowdsourcing
Driver Drowsiness
Multiple Kernel Learning
N/a
Vehicle Arrival Time
Data Fusion
Deep Learning
Ddpg
State Transition
History Of Engineering And Technology / Bicssc
Decision-making
Road Transportation
Inertial Measurement Units
End-to-end
Urban Freeway
Driver Stress
Deep Reinforcement Learning
Autonomous Path Planning
Histogram Of Oriented Gradients
Vehicle Density
Scene Division
Collision Avoidance
Hybrid Dynamic System
Traffic Signal Control
Indoor Localization
Autonomous Navigation
Security
Convolutional Neural Networks
Authentication
Deep Support Vector Machine
Intelligent Transportation Systems
Internet Of Things
Road Anomalies
Connected Vehicle
Intelligent Vehicle Access
Multi-objective Genetic Algorithm
Unmanned Ships
Time-frequency
Artificial Neural Networks
Speed Guidance
Maritime Autonomous Surface Ships
Inertial Measurement Unit (imu)
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (232 p.)
ISBN:9783036503110
books978-3-0365-0311-0
9783036503103

Similar Items