Improving Road Traffic Management by A Model-Based Simulation

Erwin Harahap, Janaka Wijekoon, Pupung Purnamasari, Deni Darmawan, Rakhmat Ceha, Hiroaki Nishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2018 4th International Conference on Science and Technology, ICST 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538658130
DOIs
Publication statusPublished - 2018 Nov 8
Event4th International Conference on Science and Technology, ICST 2018 - Yogyakarta, Indonesia
Duration: 2018 Aug 72018 Aug 8

Other

Other4th International Conference on Science and Technology, ICST 2018
CountryIndonesia
CityYogyakarta
Period18/8/718/8/8

Fingerprint

road traffic
Simulators
traffic
Queueing theory
simulation
management
MATLAB
Planning
Economics
engineering
Costs
large city
civilization
planning
costs
science
economics

Keywords

  • congestion
  • lintas
  • matlab
  • simevents
  • simulation
  • traffic
  • transportation

ASJC Scopus subject areas

  • Signal Processing
  • Engineering (miscellaneous)
  • Education
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Harahap, E., Wijekoon, J., Purnamasari, P., Darmawan, D., Ceha, R., & Nishi, H. (2018). Improving Road Traffic Management by A Model-Based Simulation. In Proceedings - 2018 4th International Conference on Science and Technology, ICST 2018 [8528576] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSTC.2018.8528576

Improving Road Traffic Management by A Model-Based Simulation. / Harahap, Erwin; Wijekoon, Janaka; Purnamasari, Pupung; Darmawan, Deni; Ceha, Rakhmat; Nishi, Hiroaki.

Proceedings - 2018 4th International Conference on Science and Technology, ICST 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8528576.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harahap, E, Wijekoon, J, Purnamasari, P, Darmawan, D, Ceha, R & Nishi, H 2018, Improving Road Traffic Management by A Model-Based Simulation. in Proceedings - 2018 4th International Conference on Science and Technology, ICST 2018., 8528576, Institute of Electrical and Electronics Engineers Inc., 4th International Conference on Science and Technology, ICST 2018, Yogyakarta, Indonesia, 18/8/7. https://doi.org/10.1109/ICSTC.2018.8528576
Harahap E, Wijekoon J, Purnamasari P, Darmawan D, Ceha R, Nishi H. Improving Road Traffic Management by A Model-Based Simulation. In Proceedings - 2018 4th International Conference on Science and Technology, ICST 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8528576 https://doi.org/10.1109/ICSTC.2018.8528576
Harahap, Erwin ; Wijekoon, Janaka ; Purnamasari, Pupung ; Darmawan, Deni ; Ceha, Rakhmat ; Nishi, Hiroaki. / Improving Road Traffic Management by A Model-Based Simulation. Proceedings - 2018 4th International Conference on Science and Technology, ICST 2018. Institute of Electrical and Electronics Engineers Inc., 2018.
@inproceedings{b430a63ffed8445ca056d7a70a320e94,
title = "Improving Road Traffic Management by A Model-Based Simulation",
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.",
keywords = "congestion, lintas, matlab, simevents, simulation, traffic, transportation",
author = "Erwin Harahap and Janaka Wijekoon and Pupung Purnamasari and Deni Darmawan and Rakhmat Ceha and Hiroaki Nishi",
year = "2018",
month = "11",
day = "8",
doi = "10.1109/ICSTC.2018.8528576",
language = "English",
booktitle = "Proceedings - 2018 4th International Conference on Science and Technology, ICST 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Improving Road Traffic Management by A Model-Based Simulation

AU - Harahap, Erwin

AU - Wijekoon, Janaka

AU - Purnamasari, Pupung

AU - Darmawan, Deni

AU - Ceha, Rakhmat

AU - Nishi, Hiroaki

PY - 2018/11/8

Y1 - 2018/11/8

N2 - 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.

AB - 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.

KW - congestion

KW - lintas

KW - matlab

KW - simevents

KW - simulation

KW - traffic

KW - transportation

UR - http://www.scopus.com/inward/record.url?scp=85058525250&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85058525250&partnerID=8YFLogxK

U2 - 10.1109/ICSTC.2018.8528576

DO - 10.1109/ICSTC.2018.8528576

M3 - Conference contribution

AN - SCOPUS:85058525250

BT - Proceedings - 2018 4th International Conference on Science and Technology, ICST 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -