Abstract: Potholes are a major nuisance on city roads leads to several problems and losses in productivity. Local authorities have cited a lack of geographic localization of these potholes as one of the rate limiting factors for repairs. This study proposes a novel low cost wireless sensors based end-to-end system called PoDAS (Pothole Detection and Analysis System) which can be deployed across major cities. We discuss multiple implementation models that can be varied based on the needs of individual cities. Our system uses cross validation through multiple sensors to achieve a higher efficiency than some of the previous models that have been proposed. We also present the results from extensive testing carried out in different environments to ascertain both the efficacy and the efficiency of the proposed system.
Jinesh Mehta, Vinayak Mathur, Dhruv Agarwal, Atish Sharma and Krishna Prakasha, 2017. Pothole Detection and Analysis System (PoDAS) for Real Time Data Using Sensor Networks. Journal of Engineering and Applied Sciences, 12: 3090-3097.