Modelling and analysis of an efficient traffic network using ant colony optimization algorithm

Shahrizul Anuar Abu Nahar, Fazida Hanim Hashim

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

11 Citations (Scopus)

Abstract

The problem of traffic congestion is a daily occurrence in most major cities and requires an effective solution. New technologies such as the Automotive Navigation System (ANS) in finding the best path for a user helps commuters find their way without getting lost, but it only provides the best path for the user based on the distance factor without considering real traffic situations. The objective of this study is to create an optimum traffic system where traffic congestion can be reduced, besides providing a platform for further research on traffic congestion management. By using the Ant Colony Optimization (ACO) algorithm, the determination of the best path for the user has a higher dependency on the time factor. The simulation was modeled using the JAVA programming language. From the study, the algorithm is shown to improve agent travelling time in the network by between 21.13% and 38.99%.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011
Pages32-36
Number of pages5
DOIs
Publication statusPublished - 2011
Event3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011 - Bali
Duration: 26 Jul 201128 Jul 2011

Other

Other3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011
CityBali
Period26/7/1128/7/11

Fingerprint

Traffic congestion
Ant colony optimization
Navigation systems
Computer programming languages

Keywords

  • Ant Colony Optimization
  • Artificial intelligence
  • Multi-agent
  • Swarm intelligence
  • Traffic optimization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Nahar, S. A. A., & Hashim, F. H. (2011). Modelling and analysis of an efficient traffic network using ant colony optimization algorithm. In Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011 (pp. 32-36). [6005650] https://doi.org/10.1109/CICSyN.2011.20

Modelling and analysis of an efficient traffic network using ant colony optimization algorithm. / Nahar, Shahrizul Anuar Abu; Hashim, Fazida Hanim.

Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011. 2011. p. 32-36 6005650.

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

Nahar, SAA & Hashim, FH 2011, Modelling and analysis of an efficient traffic network using ant colony optimization algorithm. in Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011., 6005650, pp. 32-36, 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011, Bali, 26/7/11. https://doi.org/10.1109/CICSyN.2011.20
Nahar SAA, Hashim FH. Modelling and analysis of an efficient traffic network using ant colony optimization algorithm. In Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011. 2011. p. 32-36. 6005650 https://doi.org/10.1109/CICSyN.2011.20
Nahar, Shahrizul Anuar Abu ; Hashim, Fazida Hanim. / Modelling and analysis of an efficient traffic network using ant colony optimization algorithm. Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011. 2011. pp. 32-36
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