Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Real Time Road Monitoring System

Version 1 : Received: 7 March 2022 / Approved: 10 March 2022 / Online: 10 March 2022 (07:47:15 CET)

How to cite: Kamal, M.A. Real Time Road Monitoring System. Preprints 2022, 2022030141. https://doi.org/10.20944/preprints202203.0141.v1 Kamal, M.A. Real Time Road Monitoring System. Preprints 2022, 2022030141. https://doi.org/10.20944/preprints202203.0141.v1

Abstract

We are living in a world where people always strive for the luxuries they can get with less hard work and for these smart systems are developed and established all over the world to make life easier for the people. However, in Pakistan being a third-world country we are unable to achieve better results due to the lack of proper transit from one area to another. Sometimes the roads are not in their optimum conditions and hence people have to face a lot of problems while traveling. In urban areas, people cannot reach their destination in time, in some cases, they damage their vehicles due to the cracks on the roads, in medical emergency patient dies most of the time in their transit from rescuing point to the hospital. Similarly, in rural areas where farmers face countless problems while bringing their yield of the season towards the markets. Therefore, having described the severe damage the bad quality of roads is making. A solution is proposed to solve the problems of both the rural and urban population in our project. The project aims to provide the solution to their problem to a certain extent by monitoring the conditions of the roads. The sensors in the system will calculate the values and send them to the cloud server. The cloud server used is the blynk platform where the data will be stored. Moreover, data can be provided to the government in the future for the timely maintenance of the roads, and hence the citizens and lifestyle of the people will be changed. It is expected that the problems of both urban and rural population will be solved to a greater percentage.

Keywords

rural areas; urban areas; cloud server; monitoring; road monitoring

Subject

Computer Science and Mathematics, Information Systems

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