Artificial Intelligence Applications To Traffic Engineering


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Artificial Intelligence Applications to Traffic Engineering


Artificial Intelligence Applications to Traffic Engineering

Author: Maurizio Bielli

language: en

Publisher: VSP

Release Date: 1994-05


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In recent years the applications of advanced information technologies in the field of transportation have affected both road infrastructures and vehicle technologies. The development of advanced transport telematics systems and the implementation of a new generation of technological options in the transport environment have had a significant impact on improved traffic management, efficiency and safety. This volume contains contributions from scientific and academic centres which have been active in this field of research and provides an overview of applications of AI technology in the field of traffic control and management. The topics covered are: -- current status of AI in transport -- AI applications in traffic engineering -- in-vehicle AI

Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering


Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

Author: Gebrail Bekdas

language: en

Publisher: Engineering Science Reference

Release Date: 2019


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"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--

Artificial Intelligence in Construction Engineering and Management


Artificial Intelligence in Construction Engineering and Management

Author: Limao Zhang

language: en

Publisher: Springer Nature

Release Date: 2021-06-18


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This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.