Small Effort to Build Pune as a Smart City: Smart Real-Time Road Condition Detection and Efficient Management System
Detecting the road condition is a very important task nowadays. There is an alarming increase in the number of vehicles so a number of accidents also have increased in turn. This paper shows a unique way to detect the potholes using an Arduino-based sensi
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troduction Roads are the basic way of transportation used by citizens. So there must be a deployed method to ensure the safety of the road users. For providing this basic safety of the drivers and for living comfort the bad conditions such as potholes, bump, steep, skidding, etc., must be detected. As the number of people using the smartphone is increasing and becoming an integral part of the people’s life, we can
S. Limkar (&) O. Rajmane A. Bhosale V. Rane Department of Computer Engineering, AISSMS IOIT, Pune 411001, India e-mail: [email protected] O. Rajmane e-mail: [email protected] A. Bhosale e-mail: [email protected] V. Rane e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2018 S.C. Satapathy et al. (eds.), Smart Computing and Informatics, Smart Innovation, Systems and Technologies 78, https://doi.org/10.1007/978-981-10-5547-8_63
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merge it to provide them safety at fingertips. In road condition, detection the bad condition of roads is been detected at runtime and the users are given an update of the same for providing them extra comfort. There are various ways for detecting the road condition like using various dedicated sensors or by using sensors of the smartphone. We can detect condition using dedicated sensors [1] embedded in the vehicles and the data collected is been shown on the dashboard respectively. The detection has also been done using sensors like accelerometer, G-sensor [2] for finding the g-values and using GPS (Global Positioning System) has for finding the position of the bad condition and giving the collected information to the users. There are sensors in your smartphone which can also be used for detection of the potholes and other abnormalities and as the sensors on the smartphone [3] are used there is no extra GUI used for showing the collected information. The sensors like accelerometer, GPS, magnetometer, GSM is been used [4–6]. Figure 1 shows the simple working of the system. Also machine-learning algorithms [7] can be used for better detection of the road conditions so it can lead to increase of accuracy. The road conditions of India is deteriorating day by the very simple and efficient way must be deployed for the betterment of the road condition. The system thus created will be used by the government for improving the condition of the road in India. India is looking forward for turning into a Smart Nation. The implementation of the idea as Smart City project will lead to the maximum comfort to the citizen with placing very less amount of effort. The system if deployed on each and every vehicle will lead to large amount of data available which will be useful for finding the faults on roads and repairing them as required. It will lead to overall development. In the proposed system, the road conditions are been detected using accelerometer mounted on the Arduino-based sensing module and the data so processed by the Arduino is been sent to the Android-based smartphone which will pin all the abnormalities on Google Ma
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