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Noise identification in passenger train and it’s relation to passenger perception
Hidayah N.a, Sarwono J.b, Sudarsono A.S.a
a Laboratory of Building Physics and Acoustics, Institut Teknologi Bandung, Indonesia
b
[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]© Proceedings of 2020 International Congress on Noise Control Engineering, INTER-NOISE 2020. All rights reserved.The sonic environment in passenger train was commonly analyzed using energy based-approach considering the value of sound pressure level. Lower sound pressure level doesn’t always mean more comfortable sonic environment. Human perception is more sensitive to spectrum shape and different sound sources. A different class of train may produce different spectrum shape of sound and consist of different sound sources. This study tried to analyze passenger perception towards the sonic environment in different class of train. The object of this study was Argo Parahyangan train consists of executive and economy class. The sound pressure level in executive class was lower than economy class. Dominant frequency in both of class was at low-frequency up to 400 Hz but in economy class incidental sound with mid-frequency characteristic appeared periodically. Most disturbing sound in passenger train came from mechanical sound (bogie, the connection between train, and the connection of rail). Passenger in executive class was more disturbed than the passenger in economy class. Low-frequency sound gives more impact to disturbance perception compared to mid-frequency sound.[/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]Dominant frequency,Energy based approach,Human perception,Low-frequency sounds,Mechanical sounds,Noise identification,Sonic environments,Sound pressure level[/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][/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 was supported by a grant from National Center for Sustinable Transportation Technology and funded by Ministry of Research, Technology, and Higher Education of The Republic of Indonesia.[/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][/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]