Issue |
E3S Web Conf.
Volume 475, 2024
InCASST 2023 - The 1st International Conference on Applied Sciences and Smart Technologies
|
|
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Article Number | 02013 | |
Number of page(s) | 11 | |
Section | Environmental Impact Assessment and Management | |
DOI | https://doi.org/10.1051/e3sconf/202447502013 | |
Published online | 08 January 2024 |
Environmental management for car accident precaution and remote notification
Departement of Electrical Engineering, Faculty of Engineering, Widya Mandala Catholic University, Surabaya Indonesia
* Corresponding author: albert@ukwms.ac.id
Cars have been utilized as reliable means of transportation beyond the capacity of motorcycles. However, the misuse and abuse of these vehicles through unsafe practices like speeding and reckless driving poses a great risk that results in accidents – and sometimes – with casualties. In such unfortunate circumstances, the importance of prompt accident notification is extremely important for the driver. This notification should encompass vital accident details and precise location information. Thus, the implementation of a comprehensive system for accident warnings and the remote transmission of accident data emerges as an imperative safety measure. In this system, accidents are assessed based on the vehicle's slope relative to the road and speed. The vehicle's slope is measured using ultrasonic sensor, which calculates the ground clearance distance at two different locations of the vehicles. The two sensors will provide warning when there is a difference of more than 3 cm. Speed is measured using GPS, with the limit set at 90 km/h. If crashed occurs, Airbag Sensor gives logic ‘1’, then GPS will take current coordinates and date of the accident, then sends it via SIM800L in SMS format to registered number. Thus, the dangerous condition signed by 4,7 cm difference marked by Red LED and formed 7o angles which caused by excessive maneuver while GPS has 95% accuracy with speedometer. Thus, this voice output sure be great while quiet environment which output quality is 45dB at conversation environment.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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