Highway Sufficiency and Preliminary System Classification PDF Download
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Author: Saint Louis County (Mo.). Department of Planning
Publisher:
ISBN:
Category : City planning
Languages : en
Pages : 178
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Book Description
Author: Saint Louis County (Mo.). Department of Planning
Publisher:
ISBN:
Category : City planning
Languages : en
Pages : 178
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Book Description
Author: Mark Tranel
Publisher: Missouri History Museum
ISBN: 1883982618
Category : City planning
Languages : en
Pages : 416
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Book Description
"Reviews the history of various aspects of planning in St. Louis City and County and provides insight into planning successes and challenges"--Provided by publisher.
Author: United States. Bureau of Public Roads
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 128
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Book Description
Author: United States. Congress. Senate. Committee on Public Works. Subcommittee on Roads
Publisher:
ISBN:
Category : Highway law
Languages : en
Pages : 566
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Book Description
Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 236
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Book Description
Author:
Publisher:
ISBN:
Category : Highway research
Languages : en
Pages : 598
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Book Description
Issues for 1963- include section: Urban transportation research digest.
Author: United States. Dept. of Transportation. Office of the Assistant Secretary for Policy and International Affairs
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 728
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Book Description
Author:
Publisher:
ISBN:
Category : Union catalogs
Languages : en
Pages : 744
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Book Description
Includes entries for maps and atlases.
Author: United States. Federal Highway Administration
Publisher:
ISBN:
Category : Highway planning
Languages : en
Pages : 44
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Book Description
Author: Biswajeet Pradhan
Publisher: Springer
ISBN: 3030103749
Category : Technology & Engineering
Languages : en
Pages : 165
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Book Description
This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. The first two chapters of the book introduce the reader to laser scanning technology with creative explanation and graphical illustrations, review and recent methods of extracting geometric road parameters. The next three chapters present different machine learning and statistical techniques applied to extract road geometry information from laser scanning data. Chapters 6 and 7 present methods for modelling roadside features and automatic road geometry identification in vector data. After that, this book goes on reviewing methods used for road traffic accident modelling including accident frequency and injury severity of the traffic accident (Chapter 8). Then, the next chapter explores the details of neural networks and their performance in predicting the traffic accidents along with a comparison with common data mining models. Chapter 10 presents a novel hybrid model combining extreme gradient boosting and deep neural networks for predicting injury severity of road traffic accidents. This chapter is followed by deep learning applications in modelling accident data using feed-forward, convolutional, recurrent neural network models (Chapter 11). The final chapter (Chapter 12) presents a procedure for modelling traffic accident with little data based on the concept of transfer learning. This book aims to help graduate students, professionals, decision makers, and road planners in developing better traffic accident prediction models using advanced neural networks.
