Route 2/2A/32 Transportation Improvement Study, New London County PDF Download
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 246
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 246
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 422
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Book Description
Author: United States. Congress. House. Committee on Science. Subcommittee on Technology
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 248
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 836
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Book Description
Author: Constantinos Antoniou
Publisher: Elsevier
ISBN: 9780128129708
Category : Social Science
Languages : en
Pages : 0
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Book Description
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 - a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems. Users will find a detailed, mobility 'structural' analysis and a look at the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data's impact on mobility and an introduction to the tools necessary to apply new techniques. The book covers in detail, mobility 'structural' analysis (and its dynamics), the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications, and transportation systems analysis related to complex processes and phenomena. The book bridges the gap between big data, data science, and Transportation Systems Analysis with a study of big data's impact on mobility, and an introduction to the tools necessary to apply new techniques.
Author: United States. Department of Transportation
Publisher:
ISBN:
Category : Federal aid to transportation
Languages : en
Pages : 214
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Book Description
Author: Dharamveer Singh
Publisher: Springer Nature
ISBN: 9819960908
Category : Technology & Engineering
Languages : en
Pages : 846
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Book Description
This book is a collection of selected research papers from the 14th conference of the Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC). It covers the broad area of transportation planning and policy, pavement design and engineering, emerging technologies in transportation, traffic management, operations, and safety, and sustainable mobility in transportation. The book aims to provide deeper understanding of the transportation issues, solutions, and learnings from the implemented solutions. This book will be of best interest for academicians, researchers, policy makers, and practitioners.
Author: United States. Federal Highway Administration
Publisher:
ISBN:
Category : Highway research
Languages : en
Pages : 392
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Book Description
Author:
Publisher:
ISBN:
Category : Highway engineering
Languages : en
Pages : 242
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Book Description
Author: Yinhai Wang
Publisher: Elsevier
ISBN: 0323996809
Category : Psychology
Languages : en
Pages : 254
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Book Description
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
