IoT Based Ghat Road Traffic Alerting System
- DOI
- 10.2991/978-2-38476-483-9_49How to use a DOI?
- Keywords
- Ghat Road; Internet of Things; Traffic; Alerting System
- Abstract
The ghat road system in Malaysia still depends on the warning signboard to assist the driver in slowing down on the mountain's curve section. As for the approaches to solving the rising number of accident cases, this project aims to develop an IoT–based Ghat Road Traffic Alerting System prototype simulation. This project assists the driver by implementing the Proximity (IR) sensor, DHT11 sensors as the primary sensors on the road, followed by the BLYNK application development as the warning sign, and Google Firebase to store the database. Every method used for this project is based on the requirements collected to ensure the prototype functions accurately and achieves all the research objectives. Results from the functionality testing conducted that covers the device components, Blynk application, and Google Firebase found that the project helps the vehicle driver while driving on the ghat road and may be able to reduce the number of accident cases. The findings of this project are hoped to contribute benefits to vehicle drivers and safety practitioners.
- Copyright
- © 2025 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.
Cite this article
TY - CONF AU - N. S. Shaurah AU - S. S. M. Fauzi AU - R. A. J. M. Gining PY - 2025 DA - 2025/11/17 TI - IoT Based Ghat Road Traffic Alerting System BT - Proceedings of the Jepara International Conference on Education and Social Science 2024 (JIC 2024) PB - Atlantis Press SP - 385 EP - 392 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-483-9_49 DO - 10.2991/978-2-38476-483-9_49 ID - Shaurah2025 ER -