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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26324

Title: Demand for Agent-Based Transportation Models & Social Behavioral Challenges
Authors: El-Amine, Samar
Galland, Stephane
Yasar, Ansar-Ul-Haque
Koukam, Abderraffiaa
Issue Date: 2017
Publisher: Elsevier BV
Citation: Shakshuki, Elhadi (Ed.). 8TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN 2017) / 7TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2017) / AFFILIATED WORKSHOPS, Elsevier BV,p. 210-216
Series/Report: Procedia Computer Science
Series/Report no.: 113
Abstract: Agent-Based modelling has been around us for quite some time now and has thus become a crucial factor for executing prediction-based planning, such as the transportation models for metropolitan cities. This paper undertakes the fundamental understanding of the agent-based modeling and simulation and its application to the transportation models while discussing the scope of its applications and advantages too. The paper then presents the concepts attributed to the social behaviors in conjunction with the agent-based modelling techniques applied so far. The literature review conducted in lieu of this work has resulted in agreement with the fact that the potential of agent-based modelling is by far greater than ever due to the ever-improving computing speeds and capabilities, while the understanding of complex human behavior will continue to be a challenge for simulations and automation techniques developed so far. (C) 2017 The Authors. Published by Elsevier B.V.
Notes: El-Amine, S (reprint author), UTBM, Univ Bourgogue Franche Comte, LE21, F-90010 Belford, France. samar@sanda.be
URI: http://hdl.handle.net/1942/26324
DOI: 10.1016/j.procs.2017.08.351
ISI #: 000419236500026
ISSN: 1877-0509
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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