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Fuzzy logic model for traffic signal intersection
Studyana M.D.a, Sjafruddin A.a, Kusumantoro I.P.a, Soeharyadi Y.a
a Department of Civil Engineering, Faculty of Civil and Environmental Engineering, Bandung Institute of Technology, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 Author(s).We investigate the development of a fixed-time signal intersection optimization system using Fuzzy Logic. The conventional method utilizes the method of Indonesia Highway Capacity Manual (IHCM) model 1997 which is adopted from American version of the Highway Capacity Manual (HCM). The Fuzzy Logic potentially brings some efficiency in the optimization, through decreasing the length of the vehicle queue and therefore increasing the capacity of the traffic passing through the intersection. The main feature of the Fuzzy Logic system is that the analysis involves linguistic variables. Optimization of the signal intersection is obtained through a series of combinations of variable analysis of membership function calculations in the fuzzy inference engine. The model is verified with fuzzified data from the 2015 traffic research survey in Bandung. The final analysis shows that the number of vehicle queues decreases while the traffic passing through the intersection increases, therefore this Fuzzy Logic model is expected to contribute and to give alternative handling for optimum intersection with a fixed-time signal.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Fuzzy Logic,signal intersection,vehicle queue[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]This research is part of the research of the Bandung Institute of Technology, Doctoral Program in Transport, SAPPK, made possible by BPPDN Scholarship, Ministry of Research-Technology and Higher Education, Republic of Indonesia. I wish to thank Moch. Sayid Assaury for the help in the survey.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1063/1.5062784[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]