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Driver supervisor system with telegram bot platform
Husni E.a, Hasibuan F.a
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, 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]© Springer Nature Switzerland AG 2018.The biggest factor causes traffic accidents is human errors. Bad driving behavior could increase the risk factor of accidents. Besides, it would lead to damage the vehicle quickly. The bad behavior could come from the less awareness of the driver or the lack of knowledge in the manner of the good and safe driving behavior. Therefore, in this research, a system is developed to know the driver’s behavior while he/she is driving, especially for car rental agencies. The system will work as a supervisor which notify the driver and a car rental administrator when the driver makes a mistake based on desired rules and tell him/her what should be done. The driver will receive supervisions through text messages over a Telegram Channel and voicemails over a speaker. Utilizing vehicle diagnostic data which are retrieved directly from the vehicle using the On-Board Diagnostic (OBD) II unit, the driver’s behavior can be analyzed in real time. OBD II is connected with Raspberry Pi 2 and then integrated with Telegram Bot platform, adopting Internet of Things (IoT) technology. The results of this research show the complete driving log based on selected parameters and supervision messages received by the driver related to him/her mistakes. The field test generated 7098 lines of data in a log file, which is 1145 of them exceed the limit. At least 71 supervision messages received by the driver within limit of 4 messages per minute. The calculated bandwidth used is 68.8 bytes per minute per message and it is recommended to use at least 12.1 MB monthly data plan to accommodate 175,200 supervision messages monthly. Stable Internet connection is required more than high speed Internet to keep the real-time connection alive.[/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]Driving behavior,Internet of Things (IOT),On board diagnostics,Raspberry PI 2,Telegram Bot[/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]Driving behavior,Driving supervisor,Internet of Things (IoT),On-Board Diagnostic (OBD) II,Raspberry Pi 2,Telegram Bot[/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/10.1007/978-3-319-98443-8_40[/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]