Modelling Public Transport Passenger Flows in the Era of Intelligent Transport Systems

COST Action TU1004 (TransITS)

Business & Finance, Management & Leadership, Operations Research, Nonfiction, Science & Nature, Technology, Engineering, Civil
Cover of the book Modelling Public Transport Passenger Flows in the Era of Intelligent Transport Systems by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319250823
Publisher: Springer International Publishing Publication: February 3, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319250823
Publisher: Springer International Publishing
Publication: February 3, 2016
Imprint: Springer
Language: English

This book shows how transit assignment models can be used to describe and predict the patterns of network patronage in public transport systems. It provides a fundamental technical tool that can be employed in the process of designing, implementing and evaluating measures and/or policies to improve the current state of transport systems within given financial, technical and social constraints. The book offers a unique methodological contribution to the field of transit assignment because, moving beyond “traditional” models, it describes more evolved variants that can reproduce:

• intermodal networks with high- and low-frequency services;

• realistic behavioural hypotheses underpinning route choice;

• time dependency in frequency-based models; and

• assumptions about the knowledge that users have of network conditions

that are consistent with the present and future level of information that intelligent transport systems (ITS) can provide. The book also considers the practical perspective of practitioners and public transport operators who need to model and manage transit systems; for example, the role of ITS is explained with regard to their potential in data collection for modelling purposes and validation techniques, as well as with regard to the additional data on network patronage and passengers’ preferences that influences the network-management and control strategies imple

mented. In addition, it explains how the different aspects of network operations can be incorporated in traditional models and identifies the advantages and disadvantages of doing so. Lastly, the book provides practical information on state-of-the-art implementations of the different models and the commercial packages that are currently available for transit modelling. Showcasing original work done under the aegis of the COST Action TU1004 (TransITS), the book provides a broad readership, ranging from Master and PhD students to researchers and from policy makers to practitioners, with a comprehensive tool for understanding transit assignment models.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book shows how transit assignment models can be used to describe and predict the patterns of network patronage in public transport systems. It provides a fundamental technical tool that can be employed in the process of designing, implementing and evaluating measures and/or policies to improve the current state of transport systems within given financial, technical and social constraints. The book offers a unique methodological contribution to the field of transit assignment because, moving beyond “traditional” models, it describes more evolved variants that can reproduce:

• intermodal networks with high- and low-frequency services;

• realistic behavioural hypotheses underpinning route choice;

• time dependency in frequency-based models; and

• assumptions about the knowledge that users have of network conditions

that are consistent with the present and future level of information that intelligent transport systems (ITS) can provide. The book also considers the practical perspective of practitioners and public transport operators who need to model and manage transit systems; for example, the role of ITS is explained with regard to their potential in data collection for modelling purposes and validation techniques, as well as with regard to the additional data on network patronage and passengers’ preferences that influences the network-management and control strategies imple

mented. In addition, it explains how the different aspects of network operations can be incorporated in traditional models and identifies the advantages and disadvantages of doing so. Lastly, the book provides practical information on state-of-the-art implementations of the different models and the commercial packages that are currently available for transit modelling. Showcasing original work done under the aegis of the COST Action TU1004 (TransITS), the book provides a broad readership, ranging from Master and PhD students to researchers and from policy makers to practitioners, with a comprehensive tool for understanding transit assignment models.

More books from Springer International Publishing

Cover of the book Stabilization and Regulation of Nonlinear Systems by
Cover of the book Topics in Modal Analysis & Testing, Volume 9 by
Cover of the book Artificial Intelligence: Methodology, Systems, and Applications by
Cover of the book Cellular Automata and Discrete Complex Systems by
Cover of the book Mass Higher Education Development in East Asia by
Cover of the book Advances in Psychology and Law by
Cover of the book Nanotechnology: Applications in Energy, Drug and Food by
Cover of the book Meshless Methods in Biomechanics by
Cover of the book The Era of Private Peacemakers by
Cover of the book Overland Flow Dynamics and Solute Transport by
Cover of the book Cooperative Synchronization in Distributed Microgrid Control by
Cover of the book How Political Actors Use the Media by
Cover of the book Simulation of Optical Soliton Control in Micro- and Nanoring Resonator Systems by
Cover of the book Devotion to St. Anne in Texts and Images by
Cover of the book Quince Duncan's Weathered Men and The Four Mirrors by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy