Ant colony optimization for vehicle traffic systems: applications and challenges
Ant-based algorithms simulate the cooperative behaviour of real ants in finding food resources. A significant number of studies have focused on the self-organised behaviour of ants in the natural environment to develop effective systems for dynamic problems. Ant-based systems have special properties...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Inderscience Publishers
2014
|
Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/28964/1/Ant%20Colony%20Optimization%20for%20Vehicle%20Traffic%20Systems%20Applications%20and%20Challenges%20ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/28964/ https://www.inderscienceonline.com/doi/abs/10.1504/IJBIC.2014.059970 https://doi.org/10.1504/IJBIC.2014.059970 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.ums.eprints.28964 |
---|---|
record_format |
eprints |
spelling |
my.ums.eprints.289642021-07-31T07:51:51Z https://eprints.ums.edu.my/id/eprint/28964/ Ant colony optimization for vehicle traffic systems: applications and challenges Mohammad Reza Jabbarpour Hossein Malakooti Rafidah Md Noor Nor Badrul Anuar Norazlina Khamis TE Highway engineering. Roads and pavements Ant-based algorithms simulate the cooperative behaviour of real ants in finding food resources. A significant number of studies have focused on the self-organised behaviour of ants in the natural environment to develop effective systems for dynamic problems. Ant-based systems have special properties such as scalability, adaptability, and dynamicity, which are the main requirements for solving vehicle traffic congestion problem. Thus, ant-based algorithms are now being adopted by vehicle traffic systems VTSs to guide vehicles to less congested paths. However, literature shows that comprehensive reviews are lacking in this field. The main contribution of this paper is the review and classification of the most relevant systems based on novel taxonomy. A survey that includes statistical analyses on ant-based VTS was conducted to identify the limitations and evaluation process of VTS. This paper concludes by proposing a general framework in applying ant colony optimisation to VTS. Inderscience Publishers 2014 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/28964/1/Ant%20Colony%20Optimization%20for%20Vehicle%20Traffic%20Systems%20Applications%20and%20Challenges%20ABSTRACT.pdf Mohammad Reza Jabbarpour and Hossein Malakooti and Rafidah Md Noor and Nor Badrul Anuar and Norazlina Khamis (2014) Ant colony optimization for vehicle traffic systems: applications and challenges. International Journal of Bio-Inspired Computation, 6. pp. 32-56. ISSN 1758-0366 (P-ISSN) ,1758-0374 (E-ISSN) https://www.inderscienceonline.com/doi/abs/10.1504/IJBIC.2014.059970 https://doi.org/10.1504/IJBIC.2014.059970 |
institution |
Universiti Malaysia Sabah |
building |
UMS Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Sabah |
content_source |
UMS Institutional Repository |
url_provider |
http://eprints.ums.edu.my/ |
language |
English |
topic |
TE Highway engineering. Roads and pavements |
spellingShingle |
TE Highway engineering. Roads and pavements Mohammad Reza Jabbarpour Hossein Malakooti Rafidah Md Noor Nor Badrul Anuar Norazlina Khamis Ant colony optimization for vehicle traffic systems: applications and challenges |
description |
Ant-based algorithms simulate the cooperative behaviour of real ants in finding food resources. A significant number of studies have focused on the self-organised behaviour of ants in the natural environment to develop effective systems for dynamic problems. Ant-based systems have special properties such as scalability, adaptability, and dynamicity, which are the main requirements for solving vehicle traffic congestion problem. Thus, ant-based algorithms are now being adopted by vehicle traffic systems VTSs to guide vehicles to less congested paths. However, literature shows that comprehensive reviews are lacking in this field. The main contribution of this paper is the review and classification of the most relevant systems based on novel taxonomy. A survey that includes statistical analyses on ant-based VTS was conducted to identify the limitations and evaluation process of VTS. This paper concludes by proposing a general framework in applying ant colony optimisation to VTS. |
format |
Article |
author |
Mohammad Reza Jabbarpour Hossein Malakooti Rafidah Md Noor Nor Badrul Anuar Norazlina Khamis |
author_facet |
Mohammad Reza Jabbarpour Hossein Malakooti Rafidah Md Noor Nor Badrul Anuar Norazlina Khamis |
author_sort |
Mohammad Reza Jabbarpour |
title |
Ant colony optimization for vehicle traffic systems: applications and challenges |
title_short |
Ant colony optimization for vehicle traffic systems: applications and challenges |
title_full |
Ant colony optimization for vehicle traffic systems: applications and challenges |
title_fullStr |
Ant colony optimization for vehicle traffic systems: applications and challenges |
title_full_unstemmed |
Ant colony optimization for vehicle traffic systems: applications and challenges |
title_sort |
ant colony optimization for vehicle traffic systems: applications and challenges |
publisher |
Inderscience Publishers |
publishDate |
2014 |
url |
https://eprints.ums.edu.my/id/eprint/28964/1/Ant%20Colony%20Optimization%20for%20Vehicle%20Traffic%20Systems%20Applications%20and%20Challenges%20ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/28964/ https://www.inderscienceonline.com/doi/abs/10.1504/IJBIC.2014.059970 https://doi.org/10.1504/IJBIC.2014.059970 |
_version_ |
1760230657259208704 |
score |
13.154949 |