Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1257
Title: Improving Road Traffic Management by A Model-Based Simulation
Authors: Harahap, E
Wijekoon, J
Purnamasari, P
Darmawan, D
Ceha, R
Nishi, H
Keywords: Road Traffic Management
Model-Based Simulation
Improving Road Traffic
Issue Date: 7-Aug-2018
Publisher: IEEE
Citation: E. Harahap, J. Wijekoon, P. Purnamasari, D. Darmawan, R. Ceha and H. Nishi, "Improving Road Traffic Management by A Model-Based Simulation," 2018 4th International Conference on Science and Technology (ICST), 2018, pp. 1-6, doi: 10.1109/ICSTC.2018.8528576.
Series/Report no.: 2018 4th International Conference on Science and Technology (ICST);Pages 1-6
Abstract: Road traffic is a supporting medium that is essential to various means of land transportation that connect various locations and even large cities. Smooth traffic is a good parameter of the management of a city, also as a sign to determine the technological and economic development in the city. As the rate of civilization grows, as well as the number of people, the traffic becomes more crowded, so that congestion occurs in to an alarming level. The solution to solve the problem is by applying some methods as well as traffic engineering. However, implementing such methods without proper planning will lead to higher costs and lesser optimal results. In this article, we proposed a traffic simulation system called as “LINTAS”, a simulator tool in an attempt to resolve the traffic jam. The exact method and traffic engineering, before it is tested in a real situation, is first simulated through the LINTAS system, so that it can be known its effectiveness. LINTAS are built using the SimEvents toolbox and runs on MATLAB-Simulink software. The LINTAS simulator is performed based on the mathematical sciences, especially the field of queueing theory.
URI: http://rda.sliit.lk/handle/123456789/1257
ISBN: 978-1-5386-5813-0
Appears in Collections:Department of Computer Systems Engineering-Scopes
Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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