Smart Road Surface Monitoring with Privacy Preserved Scheme for Vehicle Crowd Sensing

Abstract

In the Modern years many varieties of solutions has been framed for transport infrastructure such as street view application, traffic scrutiny, shortest road path navigation and route discovery. The current requirements and most significant of transport infrastructure has been lead towards the monitoring of road surface condition. Many varieties of solutions have been generated with sensor technology in existing system. Because of this, most of the systems using sensors are getting trouble in existing method for analyzing the condition of road surface and also no awareness or warning for the people who travel for the first time. So that initially visual observe of every surface of the road for the particular areas has been analyzed for a superior solution. Observation can be done by taking site survey, street view applications and also getting suggestion from the highway engineers. Later every detail about the surface of the observed road will be updated with the help of crowd sensing and Global Positioning System (GPS) Vehicle based sensing technology frequently which provides the user-friendly transport services to the customer. In our work the intermediate server called Fog Node is proposed to update the genuine data about the surface of the road condition to the cloud server by applying the Light Weight Signcryption method. The best road condition path for the sensor based cars is to be notified when the car is nearer to the Road Side Unit (RSU) with the help of Global System for Mobile communication (GSM) and also the details will be provided for the client on demand. The implementation can be proved with our proposed method to reach the best path recover, less storage, power consumption and finding proper route discovery. Also, it will dispense on demand data for the road based customers through mobile application with privacy preserved technology.