Crosswind Monitoring And Detection System At Highway With IoT Features

Saat, Shahrizal and Zakaria, Nur Shahirah and Mohd Tumari, Mohd Zaidi and Hussin, Mohamed Saiful Firdaus and Muhammad Mustafa, Ahmad Nizamuddin and Adip, Mohd Anuar (2019) Crosswind Monitoring And Detection System At Highway With IoT Features. Journal Of Engineering And Applied Sciences, 14 (13). pp. 4559-4563. ISSN 1816-949X

[img] Text
4559-4563.pdf - Published Version

Download (312kB)

Abstract

The term crosswinds are mean the horizontal winds blowing at 90° from the direction of travels with the speed of 12.5 miles/sec. Crosswind could make a trouble when traveling on wet or slippery roads, especially, during heavy rain and thunderstorms. It can make the vehicle overturning when crosswind blows through it. Windsock invisible at night can cause danger to highway users. This problem can increase the risk of being involved in the accident. To overcome this problem, the crosswind detection for direction and speed monitoring system at highway is being introduced. The signal from speed and direction sensor will be processed by controller and transmitted to the cloud. The outputs from the controller will be transmitted to the LCD screen to display the current information of crosswind and give the warning to the road users. LED light will indicate the status of the crosswind. Controller will update the data to the cloud through WiFi module. Data stored in the cloud can be accessed by user using Blynk App. It could help to reduce potential of accident occur, especially, at night for highway user.

Item Type: Article
Uncontrolled Keywords: Anemometer, wind direction sensor, crosswind, IoT, road users, current
Subjects: Q Science > Q Science (General)
Q Science > QC Physics
Divisions: Faculty of Electrical and Electronic Engineering Technology > Department of Electronic and Computer Engineering Technology
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 19 Jun 2020 11:44
Last Modified: 19 Jun 2020 11:44
URI: http://eprints.utem.edu.my/id/eprint/24087
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item