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Download the fantastic book titled Machine Learning for Transportation Research and Applications written by Yinhai Wang, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning for Transportation Research and Applications", which was released on 19 April 2023. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Business & Economics genre.

Summary of Machine Learning for Transportation Research and Applications by Yinhai Wang PDF

Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle challenging transportation problems. This textbookis designed for college or graduate-level students in transportation or closely related fields to study and understand fundamentals in machine learning. Readers will learn how to develop and apply various types of machine learning models to transportation-related problems. Example applications include traffic sensing, data-quality control, traffic prediction, transportation asset management, traffic-system control and operations, and traffic-safety analysis. Introduces fundamental machine learning theories and methodologies Presents state-of-the-art machine learning methodologies and their incorporation into transportationdomain knowledge Includes case studies or examples in each chapter that illustrate the application of methodologies andtechniques for solving transportation problems Provides practice questions following each chapter to enhance understanding and learning Includes class projects to practice coding and the use of the methods

Machine Learning for Transportation Research and Applications

Detail About Machine Learning for Transportation Research and Applications PDF

  • Author : Yinhai Wang
  • Publisher : Elsevier
  • Genre : Business & Economics
  • Total Pages : 254 pages
  • ISBN : 0323996809
  • PDF File Size : 36,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Machine Learning for Transportation Research and Applications

Machine Learning for Transportation Research and Applications
  • Publisher : Elsevier
  • File Size : 38,7 Mb
  • Release Date : 19 April 2023
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Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine

Handbook on Artificial Intelligence and Transport

Handbook on Artificial Intelligence and Transport
  • Publisher : Edward Elgar Publishing
  • File Size : 36,6 Mb
  • Release Date : 06 October 2023
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With AI advancements eliciting imminent changes to our transport systems, this enlightening Handbook presents essential research on this evolution of the transportation sector. It focuses on not only urban planning,

Deep Learning and Big Data for Intelligent Transportation

Deep Learning and Big Data for Intelligent Transportation
  • Publisher : Springer Nature
  • File Size : 42,5 Mb
  • Release Date : 10 April 2021
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This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and

Neural Networks in Transport Applications

Neural Networks in Transport Applications
  • Publisher : Routledge
  • File Size : 29,9 Mb
  • Release Date : 09 July 2019
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First published in 1998, this volume enters the debate on human behaviour in the form of neural networks in a spatial context. As most transportation research techniques had been developed in

Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems
  • Publisher : Elsevier
  • File Size : 28,8 Mb
  • Release Date : 05 April 2017
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Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using

Data-Driven Solutions to Transportation Problems

Data-Driven Solutions to Transportation Problems
  • Publisher : Elsevier
  • File Size : 47,5 Mb
  • Release Date : 04 December 2018
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Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer

Mobility Patterns, Big Data and Transport Analytics

Mobility Patterns, Big Data and Transport Analytics
  • Publisher : Elsevier
  • File Size : 25,7 Mb
  • Release Date : 27 November 2018
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Mobility Patterns, Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns

Federated Learning Systems

Federated Learning Systems
  • Publisher : Springer Nature
  • File Size : 45,6 Mb
  • Release Date : 11 June 2021
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This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. The centralized training of deep learning and machine learning models not