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Overtaking assistant system based on fuzzy logic
Basjaruddin N.C.a,b, Kuspriyantoa, Saefudin D.b, Rakhman E.b, Ramadlan A.M.b
a School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia
b Department of Electrical Engineering, Politeknik Negeri Bandung, Bandung, 40012, 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]Safety and comfort are two important aspects that must be achieved at the time of driving. The level of safety when driving can be improved by reducing driver (human) error. An auxiliary device is required by the driver to avoid an accident. Advanced Driver Assistance Systems (ADASs) are systems designed to help the driver in the driving process. The Overtaking Assistance System (OAS) is a subsystem of an ADAS that functions by assisting the driver in the overtaking process. This paper presents a decision-making system based on fuzzy logic for the OAS. The inputs in a decision-making system are the distance of the ego vehicle and the vehicle that will be overtaken as well as the distance of the ego vehicle and the vehicle in the other lane. The decisions involved in a decision-making system concern the vehicle performing the approaching, tailgating, and overtaking. The results from hardware simulation using a remote control car show that the decision-making system algorithm can work according to the design.[/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]Assistance system,Auxiliary device,Decision-making systems,Hardware simulation,Level of safeties,Overtaking assistant system[/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]Advanced driver assistance system,Fuzzy logic,Overtaking assistant system,Overtaking decision making[/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][/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/10.12928/TELKOMNIKA.v13i1.499[/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]