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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2018 Vol.8(3): 294-297 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2018.8.3.702

Process Automation in Intelligent Transportation System (ITS)

Koorosh Gharehbaghi and Kenneth Farnes
Abstract—Collectively, process simulation is an intricate element within an intelligent transport system (ITS); arrange of modeling techniques and subsequent transition operations also form components of such a system. Although the ITS incorporates asset of process automations such as systematic prototypes and simulation, it also integrates computational modeling, and therefore, efficient operational transitions. Processes such as automation, modeling, and operational transitions are at the core of a fastidious ITS. Accordingly, these system elements need to be holistically integrated and amalgamated through effective computationbased methods. Fittingly, the main objective of this study is to examine the utilization of process automation- and computation-based methods as the basis for ITS integration perspectives. In doing so, Sydney Metro will be included as a case study to further elucidate such integration processes.

Index Terms—Intelligent Transportation System (ITS), process automation, Sydney metro.

The authors are with the RMIT University, Melbourne, Australia (e-mail: koorosh.gharehbaghi@rmit.edu.au, kenneth.farnes@rmit.edu.au).

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Cite: Koorosh Gharehbaghi and Kenneth Farnes, "Process Automation in Intelligent Transportation System (ITS)," International Journal of Machine Learning and Computing vol. 8, no. 3, pp. 294-297, 2018.

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