Control of a complex traffic junction using fuzzy inference
Fuzzy controllers have been widely used in many consumer products and industrial applications with success over the past two decades. For traffic control, however, fuzzy controllers have not been widely applied. This paper proposes a fuzzy traffic lights controller to be used at a complex traffic ju...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Book Section |
| Published: |
IEEE
2004
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/7331/ http://ieeexplore.ieee.org/document/1426872/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1845471790691778560 |
|---|---|
| author | Yusof, Rubiyah Khalid, Marzuki Liang, See Chin |
| author_facet | Yusof, Rubiyah Khalid, Marzuki Liang, See Chin |
| author_sort | Yusof, Rubiyah |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Fuzzy controllers have been widely used in many consumer products and industrial applications with success over the past two decades. For traffic control, however, fuzzy controllers have not been widely applied. This paper proposes a fuzzy traffic lights controller to be used at a complex traffic junction in the middle of Kuala Lumpur city, Malaysia. The proposed fuzzy traffic lights controller is capable of communicating with neighbor junctions and manages phase sequences and phase lengths adaptively. A real case study of a complex traffic junction is simulated having 4 intersections. Average flow density, average delay time and link overflow of all the 4 intersections are used as performance indices when comparing the fuzzy controller with two other existing traffic lights controllers in Malaysia, namely the preset-cycle time and vehicle-actuated controllers. A simulator has been developed to show the effectiveness of the fuzzy traffic controller which can also be used for teaching purposes. |
| format | Book Section |
| id | my.utm.eprints-7331 |
| institution | Universiti Teknologi Malaysia |
| publishDate | 2004 |
| publisher | IEEE |
| record_format | eprints |
| spelling | my.utm.eprints-73312017-07-25T06:22:57Z http://eprints.utm.my/7331/ Control of a complex traffic junction using fuzzy inference Yusof, Rubiyah Khalid, Marzuki Liang, See Chin QA75 Electronic computers. Computer science Fuzzy controllers have been widely used in many consumer products and industrial applications with success over the past two decades. For traffic control, however, fuzzy controllers have not been widely applied. This paper proposes a fuzzy traffic lights controller to be used at a complex traffic junction in the middle of Kuala Lumpur city, Malaysia. The proposed fuzzy traffic lights controller is capable of communicating with neighbor junctions and manages phase sequences and phase lengths adaptively. A real case study of a complex traffic junction is simulated having 4 intersections. Average flow density, average delay time and link overflow of all the 4 intersections are used as performance indices when comparing the fuzzy controller with two other existing traffic lights controllers in Malaysia, namely the preset-cycle time and vehicle-actuated controllers. A simulator has been developed to show the effectiveness of the fuzzy traffic controller which can also be used for teaching purposes. IEEE 2004 Book Section PeerReviewed Yusof, Rubiyah and Khalid, Marzuki and Liang, See Chin (2004) Control of a complex traffic junction using fuzzy inference. In: 2004 5th Asian Control Conference. IEEE, USA, pp. 1544-1551. ISBN 0780388739 http://ieeexplore.ieee.org/document/1426872/ 10.1109/ASCC.2004.184871 |
| spellingShingle | QA75 Electronic computers. Computer science Yusof, Rubiyah Khalid, Marzuki Liang, See Chin Control of a complex traffic junction using fuzzy inference |
| title | Control of a complex traffic junction using fuzzy inference |
| title_full | Control of a complex traffic junction using fuzzy inference |
| title_fullStr | Control of a complex traffic junction using fuzzy inference |
| title_full_unstemmed | Control of a complex traffic junction using fuzzy inference |
| title_short | Control of a complex traffic junction using fuzzy inference |
| title_sort | control of a complex traffic junction using fuzzy inference |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/7331/ http://ieeexplore.ieee.org/document/1426872/ |
| url_provider | http://eprints.utm.my/ |