Traffic information collection system based on crowdsourcing and related privacy issues

With the rapid development of wireless network technology, intelligent transport system is more familiar to people, while affecting people's lifestyles. At present, the crowdsourcing idea has been applied to the research about the intelligent transport system. But the application style is relatively simple, and the problems involved is not considered. This paper proposes a traffic information collection system based on crowdsourcing and proposes a clustering uploading algorithm to solve workers' privacy security problem. It is shown by simulation that this algorithm can effectively protect the workers' privacy security problem, reducing the probability of privacy leak. And the method provided can also be applied to other similar information collection system.