Overview
- Offers a comprehensive analysis of passenger and freight transport
- Presents recent research on the modeling of the interaction of different vehicles and various transport modes
- Written by experts in the field
Part of the book series: Lecture Notes in Intelligent Transportation and Infrastructure (LNITI)
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Table of contents (10 chapters)
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Front Matter
Keywords
About this book
This book discusses various issues of modeling freight and passenger traffic, and explores the common approaches and regional differences. The latter may be a consequence of national legislation or the various approaches that are adopted by scientists around the globe.
It focuses on the organization of transcontinental transport and aspects of planning and harmonizing the movement of various transport means, particularly intermodal and multimodal transport. New approaches to the prediction of transportation needs are also considered.
Written by international experts, the book is divided into 2 parts: the first part analyzes passenger transport, while the second addresses freight transport.It is intended wide audience, including university professors, graduate and Ph.D. students; transport professionals, and logistics specialist.
Editors and Affiliations
Bibliographic Information
Book Title: Modelling of the Interaction of the Different Vehicles and Various Transport Modes
Editors: Aleksander Sładkowski
Series Title: Lecture Notes in Intelligent Transportation and Infrastructure
DOI: https://doi.org/10.1007/978-3-030-11512-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-11511-1Published: 29 January 2019
eBook ISBN: 978-3-030-11512-8Published: 28 January 2019
Series ISSN: 2523-3440
Series E-ISSN: 2523-3459
Edition Number: 1
Number of Pages: X, 527
Number of Illustrations: 77 b/w illustrations, 179 illustrations in colour
Topics: Computational Intelligence, Transportation Technology and Traffic Engineering, Artificial Intelligence
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications