Modelling of the interaction of the different vehicles and various transport modes / editor, Aleksander Sładkowski.
2020
HE199.A2
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Details
Title
Modelling of the interaction of the different vehicles and various transport modes / editor, Aleksander Sładkowski.
ISBN
9783030115128 (electronic book)
3030115127 (electronic book)
3030115119
9783030115111
3030115127 (electronic book)
3030115119
9783030115111
Publication Details
Cham, Switzerland : Springer Nature, ©2020.
Language
English
Description
1 online resource
Call Number
HE199.A2
Dewey Decimal Classification
388.044
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (viewed February 6, 2019)
Added Author
Sładkowski, Aleksander, 1956-
Series
Lecture notes in intelligent transportation and infrastructure.
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Table of Contents
Methodology for Multi-Criteria Selection of Transportation Technology in Transport Network
Shaping Quality of Service in Freight Transport
Application of Artificial Neural Networks for Short-Term Forecasting of Container Flows in Kazakhstan
Intermodal Terminals Network Modelling.
Shaping Quality of Service in Freight Transport
Application of Artificial Neural Networks for Short-Term Forecasting of Container Flows in Kazakhstan
Intermodal Terminals Network Modelling.