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Author: Jacek Żak
Publisher: Springer
ISBN: 3319571052
Category : Technology & Engineering
Languages : en
Pages : 477
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Book Description
This book is a collection of original papers produced by the members of the Euro Working Group on Transportation (EWGT) in the last several years (2015–2017). The respective chapters present the results of various research projects carried out by the members of the EWGT and extended versions of presentations given at the last several meetings of the EWGT. The book offers a representative sampling of the EWGT’s research activities and covers the state-of-the-art in quantitative oriented transportation/logistics research. It highlights a range of advanced concepts, methodologies and technologies, divided into four major thematic streams: Multiple Criteria Analysis in Transportation and Logistics; Urban Transportation and City Logistics; Road Safety and Artificial Intelligence and Soft Computing in Transportation and Logistics. The book is intended for academics/researchers, analysts, business consultants, and graduate students who are interested in advanced techniques of mathematical modeling and computational procedures applied in transportation and logistics.
Author: Jacek Żak
Publisher: Springer
ISBN: 3319571052
Category : Technology & Engineering
Languages : en
Pages : 477
Get Book Here
Book Description
This book is a collection of original papers produced by the members of the Euro Working Group on Transportation (EWGT) in the last several years (2015–2017). The respective chapters present the results of various research projects carried out by the members of the EWGT and extended versions of presentations given at the last several meetings of the EWGT. The book offers a representative sampling of the EWGT’s research activities and covers the state-of-the-art in quantitative oriented transportation/logistics research. It highlights a range of advanced concepts, methodologies and technologies, divided into four major thematic streams: Multiple Criteria Analysis in Transportation and Logistics; Urban Transportation and City Logistics; Road Safety and Artificial Intelligence and Soft Computing in Transportation and Logistics. The book is intended for academics/researchers, analysts, business consultants, and graduate students who are interested in advanced techniques of mathematical modeling and computational procedures applied in transportation and logistics.
Author:
Publisher:
ISBN:
Category : Air travel
Languages : en
Pages :
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Book Description
Author: National Research Council (U.S.). Transportation Research Board
Publisher:
ISBN:
Category : Express highways
Languages : en
Pages : 264
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Book Description
Author: Peter Davies
Publisher: Transportation Research Board
ISBN: 9780309048637
Category : Transportation
Languages : en
Pages : 108
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Book Description
Author:
Publisher:
ISBN:
Category : Transportation engineering
Languages : en
Pages : 716
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Book Description
Author: James A. Wentworth
Publisher:
ISBN:
Category : Highway engineering
Languages : en
Pages : 84
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Book Description
Author:
Publisher:
ISBN:
Category : Traffic congestion
Languages : en
Pages : 198
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Book Description
Author: United States. Federal Highway Administration
Publisher:
ISBN:
Category : Intelligent transportation systems
Languages : en
Pages : 164
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Book Description
Author: Global Built Environment Network
Publisher: Lulu.com
ISBN: 1847283969
Category : Architecture
Languages : en
Pages : 238
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Book Description
Proceedings of the GBEN 2006 Conference: Global Built Environment: Towards an Integrated Approach for Sustainability. Hosted by the Department of Built Environment, University of Central Lancashire, Preston, UK. Organised jointly by the University of Central Lancashire, Edgehill University and National University of Ireland, Cork. Conference dates: 11-12 September 2006.
Author: Hojjat Adeli
Publisher:
ISBN:
Category : Disabled vehicles on express highways
Languages : en
Pages : 280
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Book Description
Automatic freeway incident detection is an important component of advanced transportation management systems (ATMS) that provides information for emergency relief and traffic control and management purposes. In this research, a multi-paradigm intelligent system approach and several innovative algorithms were developed for solution of the freeway traffic incident detection problem employing advanced signal processing, pattern recognition, and classification techniques. The methodology effectively integrates fuzzy, wavelet, and neural computing techniques to improve reliability and robustness.
