Published Paper Details:

Monitoring road and traffic conditions in a city is a problem widely studied. Several methods have been proposed towards addressing this problem. Several proposed techniques require dedicated hardware such as GPS devices and accelerometers in vehicles or cameras on roadside and near traffic signals. All such methods are ex- pensive in terms of monetary cost and human effort required. We propose a non- intrusive method that uses sensors present on smartphones. In propose system we use accelerometer, GPS sensor readings for road conditions detection. We are specifically interested in identifying braking events - frequent braking indicates congested traffic conditions - and bumps on the roads to characterize the type of road. In this fast-moving world that we live in, safe commute is not only everyone�s priority but also to provide a hassle-free shuttle between places is the government�s duty. In this paper, we propose a system which detects potholes on the road. As we all know prevention is better than cure, we design and implement a system which not only recognizes potholes but also stores this data on a cloud platform which can act as a database for further reference and enable us to analyze the data. The proposed system contains two important functions, first is to detect the pothole which is done through a multi-sensor subsystem consisting of accelerometer and gyroscope and secondly warn the driver and store this information on a cloud base which can be accessed by other users which will help them apprehend the potholes on their way. Once the location of the potholes is known, Government authorities can be informed about the same.