Research on anonymous auxiliary road condition detection scheme based on crowdsourcing

Abstract

The traditional road condition information collection methods mainly include direct access to the user's GPS positioning and sensor indirect access to two ways, the GPS positioning method has the problem of privacy disclosure cannot be ignored, in case of illegal use may threaten the user's personal and property safety. How to collect accurate traffic information in real time on the premise of protecting user privacy is an urgent problem to be solved. In order to solve this problem, this paper proposes an auxiliary road condition detection scheme to protect the privacy of service users under the framework of crowdsourcing. Paillier homomorphic encryption algorithm is adopted to encrypt the user's driving direction, which can effectively protect the user's driving track. The crowdsourcing server delivers road condition collection tasks to users with the help of roadside unit (RSU), improving the availability of road condition information collection and realizing rapid auxiliary monitoring of real-time road conditions while protecting privacy.