On-demand priority traffic optimizer with fuzzy logic microcontroller
Current traffic control system in Malaysia is developed based on predetermined setup, where the system is not able to analyse the surrounding condition to optimize the green time. When there is an unusual traffic flow, the control system fails to control traffic flow efficiently, causing delays and...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/38469/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38469/2/FULLTEXT.pdf |
| _version_ | 1825715543760437248 |
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| author | Helen Sin Ee Chuo Seah, Yee En Tan, Min Keng Lim, Kit Guan Liau, Chung Fan Teo, Kenneth Tze Kin |
| author_facet | Helen Sin Ee Chuo Seah, Yee En Tan, Min Keng Lim, Kit Guan Liau, Chung Fan Teo, Kenneth Tze Kin |
| author_sort | Helen Sin Ee Chuo |
| collection | UMS |
| description | Current traffic control system in Malaysia is developed based on predetermined setup, where the system is not able to analyse the surrounding condition to optimize the green time. When there is an unusual traffic flow, the control system fails to control traffic flow efficiently, causing delays and requiring the assistance of traffic police. The main objective of this project is to explore the potential of fuzzy logic embedded control system in optimizing the traffic congestion corresponding to the priority traffic signal. The developed real time traffic-adaptive control system operates by prioritising the green light based on the received priority signals such as high flow rate phases and the emergency vehicles. A microcontroller-based traffic controller with computed algorithm was developed. The performance of the controller in reducing average waiting time and average vehicle queue length at a traffic intersection was evaluated. In overall, Fuzzy Logic managed to reduce 23% of average waiting time and 11% of average vehicles in queue at the intersection as compared to the conventional control. |
| first_indexed | 2024-09-24T00:48:31Z |
| format | Conference or Workshop Item |
| id | ums.eprints-38469 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-09-24T00:48:31Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ums.eprints-384692024-05-13T07:24:03Z https://eprints.ums.edu.my/id/eprint/38469/ On-demand priority traffic optimizer with fuzzy logic microcontroller Helen Sin Ee Chuo Seah, Yee En Tan, Min Keng Lim, Kit Guan Liau, Chung Fan Teo, Kenneth Tze Kin TJ212-225 Control engineering systems. Automatic machinery (General) Current traffic control system in Malaysia is developed based on predetermined setup, where the system is not able to analyse the surrounding condition to optimize the green time. When there is an unusual traffic flow, the control system fails to control traffic flow efficiently, causing delays and requiring the assistance of traffic police. The main objective of this project is to explore the potential of fuzzy logic embedded control system in optimizing the traffic congestion corresponding to the priority traffic signal. The developed real time traffic-adaptive control system operates by prioritising the green light based on the received priority signals such as high flow rate phases and the emergency vehicles. A microcontroller-based traffic controller with computed algorithm was developed. The performance of the controller in reducing average waiting time and average vehicle queue length at a traffic intersection was evaluated. In overall, Fuzzy Logic managed to reduce 23% of average waiting time and 11% of average vehicles in queue at the intersection as compared to the conventional control. 2022-11-09 Conference or Workshop Item PeerReviewed text en https://eprints.ums.edu.my/id/eprint/38469/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/38469/2/FULLTEXT.pdf Helen Sin Ee Chuo and Seah, Yee En and Tan, Min Keng and Lim, Kit Guan and Liau, Chung Fan and Teo, Kenneth Tze Kin (2022) On-demand priority traffic optimizer with fuzzy logic microcontroller. In: 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 13-15 September 2022, Kota Kinabalu, Malaysia. https://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=On-demand%20priority%20traffic%20optimizer%20with%20fuzzy%20logic%20microcontroller |
| spellingShingle | TJ212-225 Control engineering systems. Automatic machinery (General) Helen Sin Ee Chuo Seah, Yee En Tan, Min Keng Lim, Kit Guan Liau, Chung Fan Teo, Kenneth Tze Kin On-demand priority traffic optimizer with fuzzy logic microcontroller |
| title | On-demand priority traffic optimizer with fuzzy logic microcontroller |
| title_full | On-demand priority traffic optimizer with fuzzy logic microcontroller |
| title_fullStr | On-demand priority traffic optimizer with fuzzy logic microcontroller |
| title_full_unstemmed | On-demand priority traffic optimizer with fuzzy logic microcontroller |
| title_short | On-demand priority traffic optimizer with fuzzy logic microcontroller |
| title_sort | on demand priority traffic optimizer with fuzzy logic microcontroller |
| topic | TJ212-225 Control engineering systems. Automatic machinery (General) |
| url | https://eprints.ums.edu.my/id/eprint/38469/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38469/2/FULLTEXT.pdf |
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