Models and Technologies for Transport System Flow Analysis
Author(s) -
Zhiyuan Liu,
Lele Zhang,
David Z.W. Wang
Publication year - 2019
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1155/2019/6964943
Subject(s) - transport engineering , computer science , traffic flow (computer networking) , public transport , systems analysis , transportation planning , transport system , transport network , cover (algebra) , software , operations research , engineering , computer security , mechanical engineering , software engineering , programming language
Flow analysis is the core of many well-recognized technologies for the evaluation and improvement of transport systems, including the analytical methods and simulation software packages for transport system planning and design, traffic control, traffic safety analysis, and demand management. Urban and regional transport systems belong to a highly complex sector that involves the intricate activities ofmillions of commuters each day, which makes it highly challenging to accurately analyze and predict the flows. Herein, these flows also cover the dynamics in different subsystems, including the urban road networks and public transport systems; thus how to reasonably address the interactions and correlations between these subsystems is still a difficult and prevailing problem in the transport engineering and science area. In addition, new emerging sharing mobilities (such as ridesharing, car sharing, and bike sharing) have provided new dimensions to travelers for the trip choices, which have introduced new challenges to the studies of transport system flows. To this end, this special issue aims to address the cutting-edge ideas, knowledge, methodologies, techniques, and practices in the broad areas of transport system flow analysis. There were 70 papers submitted to this special issue, 20 of which were accepted for publication. As the guest editors of this special issue, we would like to summarize the accepted papers as follows.
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