Design and Build a Traffic Light Automation System for Ambulance Vehicles in Traffic Light Paal II

DOI

10.2991/978-2-38476-202-6_16How to use a DOI?

Keywords

— IoT; Arduino; Arduino MEGA; KY-037; Traffic Light; Ambulance

Abstract

Transportation has become something that is very much needed for the daily life of the Indonesian people, with the growing population in Indonesia, the vehicles used by the people have also developed, especially in the Paal II Horse Statue Area. In this way the Traffic Light Automation System Design for Ambulance Vehicles in Traffic Light Paal II serves to reduce the level of accidents, congestion, and the delay rate of Ambulance vehicles. This system utilizes IoT technology to enable real-time data transmission and can be accessed online by security officers and emergency vehicle drivers. By using Arduino MEGA and KY-037 sound sensor. Arduino MEGA functions as a central controller for LED Traffic Light and KY-037 sound sensor as well as for analyzing data and adjusting traffic light times according to traffic conditions in real time. The KY-037 sound sensor functions to capture the sound of sirens from Ambulance. Once detected, the traffic light will automatically change the light to red so that ambulance vehicles can pass more quickly and safely. This approach is intended to speed up response time in emergency situations and improve public health and safety. In an emergency situation, every second counts and it is a priority for emergency vehicles to help save lives and reduce the risk of death. This system has the potential to save time and money in handling emergencies and improve the quality of life of the community as a whole. In order to ensure the success of this system, it is necessary to carry out continuous trials and evaluations as well as improvements to existing systems.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Stephy Beatrix Walukow
AU  - Venny Vita Ponggawa
AU  - Jeanely Rangkang
AU  - Marson Budiman
AU  - Fitria Claudya Lahinta
AU  - Hizkia Thios
PY  - 2024
DA  - 2024/02/15
TI  - Design and Build a Traffic Light Automation System for Ambulance Vehicles in Traffic Light Paal II
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science 2023 (iCAST-SS 2023)
PB  - Atlantis Press
SP  - 111
EP  - 114
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-202-6_16
DO  - 10.2991/978-2-38476-202-6_16
ID  - Walukow2024
ER  -