Fuzzy traffic light controller using Sugeno method for isolated intersection
This paper presents a Sugeno-type fuzzy traffic controller for controlling isolated traffic intersection. The model framework used in this study developed using M/M/1 queuing theory. The principles and rules for the fuzzy control system are modeled based on the arrivals of vehicles, vehicles queue l...
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2009
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/48300/ http://psasir.upm.edu.my/id/eprint/48300/1/Fuzzy%20traffic%20light%20controller%20using%20Sugeno%20method%20for%20isolated%20intersection.pdf |
| _version_ | 1848851045444222976 |
|---|---|
| author | Lai, Guan Rhung Che Soh, Azura Abdul Rahman, Ribhan Zafira Hassan, Mohd Khair |
| author_facet | Lai, Guan Rhung Che Soh, Azura Abdul Rahman, Ribhan Zafira Hassan, Mohd Khair |
| author_sort | Lai, Guan Rhung |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper presents a Sugeno-type fuzzy traffic controller for controlling isolated traffic intersection. The model framework used in this study developed using M/M/1 queuing theory. The principles and rules for the fuzzy control system are modeled based on the arrivals of vehicles, vehicles queue length at current green phase, and vehicles queue lengths at the other phases. The phase sequence and phase length extension are used in the decision making to switch the current phase to the appropriate next phase. Using the information from its traffic detectors at each of the four lanes of isolated intersection, the fuzzy rule-based system gives optimal signals to adapt the phase lengths to the traffic conditions. The phase sequence is managed by a simple program using if-else statement. In this paper, an isolated traffic intersection is simulated for both fixed-cycle traffic control system and fuzzy logic based traffic control system. The comparison of performance between the two models of traffic light system clearly indicates that the fuzzy logic based traffic lights control system is more efficient, flexible and adaptable in controlling the traffic flow. |
| first_indexed | 2025-11-15T10:15:56Z |
| format | Conference or Workshop Item |
| id | upm-48300 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:15:56Z |
| publishDate | 2009 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-483002016-08-04T08:14:47Z http://psasir.upm.edu.my/id/eprint/48300/ Fuzzy traffic light controller using Sugeno method for isolated intersection Lai, Guan Rhung Che Soh, Azura Abdul Rahman, Ribhan Zafira Hassan, Mohd Khair This paper presents a Sugeno-type fuzzy traffic controller for controlling isolated traffic intersection. The model framework used in this study developed using M/M/1 queuing theory. The principles and rules for the fuzzy control system are modeled based on the arrivals of vehicles, vehicles queue length at current green phase, and vehicles queue lengths at the other phases. The phase sequence and phase length extension are used in the decision making to switch the current phase to the appropriate next phase. Using the information from its traffic detectors at each of the four lanes of isolated intersection, the fuzzy rule-based system gives optimal signals to adapt the phase lengths to the traffic conditions. The phase sequence is managed by a simple program using if-else statement. In this paper, an isolated traffic intersection is simulated for both fixed-cycle traffic control system and fuzzy logic based traffic control system. The comparison of performance between the two models of traffic light system clearly indicates that the fuzzy logic based traffic lights control system is more efficient, flexible and adaptable in controlling the traffic flow. IEEE 2009 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/48300/1/Fuzzy%20traffic%20light%20controller%20using%20Sugeno%20method%20for%20isolated%20intersection.pdf Lai, Guan Rhung and Che Soh, Azura and Abdul Rahman, Ribhan Zafira and Hassan, Mohd Khair (2009) Fuzzy traffic light controller using Sugeno method for isolated intersection. In: 2009 IEEE Student Conference on Research and Development (SCOReD 2009), 16-18 Nov. 2009, UPM, Serdang, Selangor. (pp. 501-504). 10.1109/SCORED.2009.5442955 |
| spellingShingle | Lai, Guan Rhung Che Soh, Azura Abdul Rahman, Ribhan Zafira Hassan, Mohd Khair Fuzzy traffic light controller using Sugeno method for isolated intersection |
| title | Fuzzy traffic light controller using Sugeno method for isolated intersection |
| title_full | Fuzzy traffic light controller using Sugeno method for isolated intersection |
| title_fullStr | Fuzzy traffic light controller using Sugeno method for isolated intersection |
| title_full_unstemmed | Fuzzy traffic light controller using Sugeno method for isolated intersection |
| title_short | Fuzzy traffic light controller using Sugeno method for isolated intersection |
| title_sort | fuzzy traffic light controller using sugeno method for isolated intersection |
| url | http://psasir.upm.edu.my/id/eprint/48300/ http://psasir.upm.edu.my/id/eprint/48300/ http://psasir.upm.edu.my/id/eprint/48300/1/Fuzzy%20traffic%20light%20controller%20using%20Sugeno%20method%20for%20isolated%20intersection.pdf |