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Adaptive Traffic Signal Control Using Fuzzy Logic Under Mixed Traffic Conditions
https://orcid.org/https://orcid.org/0000-0003-3402-7474
The effectiveness of the intersection control performance is very influential on the occurrence of vehicular delays and traffic accidents. One of the systems for controlling vehicle movements at intersection is a traffic signal control. Traffic signal control widely used in Indonesia is Fixed Time Control (FTC). The deficiency of the FTC is that it cannot accommodate high traffic flow fluctuations, which causes excessive vehicle delays. The purpose of this study is to evaluate the Fuzzy Logic Traffic Signal Control (FLTSC) algorithm on the VISSIM simulation model for an isolated four-way intersection with two-stage signal type 42 and compare its performance with the optimized FTC under different traffic conditions. The simulation results showed the performance of the proposed FLTSC is generally better than the optimized FTC, especially in time-varying traffic cases.
Adaptive Traffic Signal Control Using Fuzzy Logic Under Mixed Traffic Conditions
https://orcid.org/https://orcid.org/0000-0003-3402-7474
The effectiveness of the intersection control performance is very influential on the occurrence of vehicular delays and traffic accidents. One of the systems for controlling vehicle movements at intersection is a traffic signal control. Traffic signal control widely used in Indonesia is Fixed Time Control (FTC). The deficiency of the FTC is that it cannot accommodate high traffic flow fluctuations, which causes excessive vehicle delays. The purpose of this study is to evaluate the Fuzzy Logic Traffic Signal Control (FLTSC) algorithm on the VISSIM simulation model for an isolated four-way intersection with two-stage signal type 42 and compare its performance with the optimized FTC under different traffic conditions. The simulation results showed the performance of the proposed FLTSC is generally better than the optimized FTC, especially in time-varying traffic cases.
Adaptive Traffic Signal Control Using Fuzzy Logic Under Mixed Traffic Conditions
https://orcid.org/https://orcid.org/0000-0003-3402-7474
The effectiveness of the intersection control performance is very influential on the occurrence of vehicular delays and traffic accidents. One of the systems for controlling vehicle movements at intersection is a traffic signal control. Traffic signal control widely used in Indonesia is Fixed Time Control (FTC). The deficiency of the FTC is that it cannot accommodate high traffic flow fluctuations, which causes excessive vehicle delays. The purpose of this study is to evaluate the Fuzzy Logic Traffic Signal Control (FLTSC) algorithm on the VISSIM simulation model for an isolated four-way intersection with two-stage signal type 42 and compare its performance with the optimized FTC under different traffic conditions. The simulation results showed the performance of the proposed FLTSC is generally better than the optimized FTC, especially in time-varying traffic cases.
Adaptive Traffic Signal Control Using Fuzzy Logic Under Mixed Traffic Conditions
Lecture Notes in Civil Engineering
Kristiawan, Stefanus Adi (editor) / Gan, Buntara S. (editor) / Shahin, Mohamed (editor) / Sharma, Akanshu (editor) / Yulianto, Budi (author)
International Conference on Rehabilitation and Maintenance in Civil Engineering ; 2021 ; Surakarta, Indonesia
2022-07-19
11 pages
Article/Chapter (Book)
Electronic Resource
English
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