Overview
- Provides recent research on Nodes in Transport Networks – Research, Data Analysis and Modeling
- Presents cutting-edge research for transport systems in specific urban areas, regions, countries and Europe-wide
- Includes selected papers from the 16th Scientific and Technical Conference “Transport Systems. Theory and Practice 2019”, held in Katowice, Poland on September 16–18, 2019
- Written by prominent experts in the field
Part of the book series: Lecture Notes in Intelligent Transportation and Infrastructure (LNITI)
Included in the following conference series:
Conference proceedings info: TSTP 2019.
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Table of contents (14 papers)
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Front Matter
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Intersections as Bottlenecks of Transport Networks – Solutions for Low Capacity
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Front Matter
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System Approach for Transport Nodes and Traffic Flows Modelling
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Front Matter
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Modern Types of Intersections to Improve Traffic Safety
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Front Matter
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Traffic Organization and Control at Transport Nodes
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Front Matter
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Back Matter
Other volumes
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Modern Traffic Engineering in the System Approach to the Development of Traffic Networks
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Smart and Green Solutions for Transport Systems
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Nodes in Transport Networks – Research, Data Analysis and Modelling
Keywords
About this book
The publication delivers numerous valuable guidelines, particularly useful when making decisions related in the subject matter to road and rail nodes located in dense transport networks. The know-how displayed while discussing practical examples as well as the decision making support systems described in the publication will certainly attract the interest of those who daily face the challenge of seeking solutions to the operational and functional problems of transport nodes in contemporary transport networks and systems. This publication is dedicated to local authorities involved in planning and preparation of development strategies for specific transport-related issues (in both urban and regional areas) as well as to representatives of business and industry, being those who participate directly in the implementation of traffic engineering solutions. The guidelines provided in individual chapters of the publication will make it possible to address the given problem in an advanced manner and simplify the choice of appropriate strategies (including those related to synchronisation of road traffic streams, improving the capacity, road traffic safety analysis, evaluation of changes in drivers’ behaviour on account of introducing countdown timers at signal-controlled intersections using UAV data, the influence of the type of traffic organisation on the behaviour of pedestrians at tram line crossings). On the other hand, since the publication also concerns the new approach to theoretical models (including potential places of integration of public transport with the railway network or the speed adviser for pedestrians enabling them to choose the optimal path at signal-controlled intersections), it should also attract the attention of researches and scientists studying this body of problems. The publication entitled "Nodes in transport networks - research, data analysis and modelling" contains selected papers submitted to and presented at the 16th ”Transport Systems. Theory and Practice” Scientific and Technical Conference organized by the Department of Transport Systems and Traffic Engineering at the Faculty of Transport of the Silesian University of Technology. The conference was held on 16-18 September 2019 in Katowice (Poland).
Editors and Affiliations
Bibliographic Information
Book Title: Nodes in Transport Networks – Research, Data Analysis and Modelling
Book Subtitle: 16th Scientific and Technical Conference “Transport Systems. Theory and Practice 2019”, Selected Papers
Editors: Elżbieta Macioszek, Nan Kang, Grzegorz Sierpiński
Series Title: Lecture Notes in Intelligent Transportation and Infrastructure
DOI: https://doi.org/10.1007/978-3-030-39109-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-39108-9Published: 07 January 2020
eBook ISBN: 978-3-030-39109-6Published: 06 January 2020
Series ISSN: 2523-3440
Series E-ISSN: 2523-3459
Edition Number: 1
Number of Pages: XII, 199
Number of Illustrations: 42 b/w illustrations, 61 illustrations in colour
Topics: Computational Intelligence, Transportation Technology and Traffic Engineering, Artificial Intelligence