Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Application of Fuzzy Inference System Mamdani at Pelican Crossing
https://orcid.org/http://orcid.org/0000-0002-4862-4598
Fuzzy logic is one of the soft computing methodologies which aims to analyze the system that contains fuzziness. Fuzzy inference system (FIS) defines as a decision-making process based on fuzzy set theory, fuzzy rules, and fuzzy reasoning. In this research, we use FIS Mamdani which has been used in several applications, especially transportation. Pedestrians are the weakest mode of transportation that requires an infrastructure that is safe and comfortable when crossing the road. Pelican crossing is one of the pedestrian crossing types. Pelican crossing in Indonesia is based on fixed time where the pedestrian time is fixed. It is not effective because the pedestrian time is not based on the volume of traffic conditions. To overcome this problem, the FIS Mamdani method is used. Mamdani method is composed of three steps to obtain an output, namely pedestrian time. Fuzzification with two input variables, namely pedestrian and vehicle volumes, and the output variable is pedestrian time. Inference engine which executes all logic with the if–then rule. Apply defuzzification with the Centroid method to obtain the output result. The purpose of this research is to determine the pedestrian time on pelican crossing using FIS Mamdani. The result shows the pedestrian time change according to the volume of pedestrians and vehicles. FIS Mamdani can adjust the traffic light signal time to the traffic conditions that occur on a pelican crossing.
Application of Fuzzy Inference System Mamdani at Pelican Crossing
https://orcid.org/http://orcid.org/0000-0002-4862-4598
Fuzzy logic is one of the soft computing methodologies which aims to analyze the system that contains fuzziness. Fuzzy inference system (FIS) defines as a decision-making process based on fuzzy set theory, fuzzy rules, and fuzzy reasoning. In this research, we use FIS Mamdani which has been used in several applications, especially transportation. Pedestrians are the weakest mode of transportation that requires an infrastructure that is safe and comfortable when crossing the road. Pelican crossing is one of the pedestrian crossing types. Pelican crossing in Indonesia is based on fixed time where the pedestrian time is fixed. It is not effective because the pedestrian time is not based on the volume of traffic conditions. To overcome this problem, the FIS Mamdani method is used. Mamdani method is composed of three steps to obtain an output, namely pedestrian time. Fuzzification with two input variables, namely pedestrian and vehicle volumes, and the output variable is pedestrian time. Inference engine which executes all logic with the if–then rule. Apply defuzzification with the Centroid method to obtain the output result. The purpose of this research is to determine the pedestrian time on pelican crossing using FIS Mamdani. The result shows the pedestrian time change according to the volume of pedestrians and vehicles. FIS Mamdani can adjust the traffic light signal time to the traffic conditions that occur on a pelican crossing.
Application of Fuzzy Inference System Mamdani at Pelican Crossing
https://orcid.org/http://orcid.org/0000-0002-4862-4598
Fuzzy logic is one of the soft computing methodologies which aims to analyze the system that contains fuzziness. Fuzzy inference system (FIS) defines as a decision-making process based on fuzzy set theory, fuzzy rules, and fuzzy reasoning. In this research, we use FIS Mamdani which has been used in several applications, especially transportation. Pedestrians are the weakest mode of transportation that requires an infrastructure that is safe and comfortable when crossing the road. Pelican crossing is one of the pedestrian crossing types. Pelican crossing in Indonesia is based on fixed time where the pedestrian time is fixed. It is not effective because the pedestrian time is not based on the volume of traffic conditions. To overcome this problem, the FIS Mamdani method is used. Mamdani method is composed of three steps to obtain an output, namely pedestrian time. Fuzzification with two input variables, namely pedestrian and vehicle volumes, and the output variable is pedestrian time. Inference engine which executes all logic with the if–then rule. Apply defuzzification with the Centroid method to obtain the output result. The purpose of this research is to determine the pedestrian time on pelican crossing using FIS Mamdani. The result shows the pedestrian time change according to the volume of pedestrians and vehicles. FIS Mamdani can adjust the traffic light signal time to the traffic conditions that occur on a pelican crossing.
Application of Fuzzy Inference System Mamdani at Pelican Crossing
Lecture Notes in Civil Engineering
Kristiawan, Stefanus Adi (Herausgeber:in) / Gan, Buntara S. (Herausgeber:in) / Shahin, Mohamed (Herausgeber:in) / Sharma, Akanshu (Herausgeber:in) / Putri, Salsabila Naura (Autor:in)
International Conference on Rehabilitation and Maintenance in Civil Engineering ; 2021 ; Surakarta, Indonesia
19.07.2022
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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