The big data revolution radically transforms how cities monitor, manage, and enhance the livability of our society. A successful smart city will be one in which the public agencies, businesses and people are able to make informed decisions and respond to dynamic conditions based on real-time sensing and data analytics. The paper listed some gathering methods for traffic data, and preprocessed the collected data according to their missing feathers; then conducted several repair methods and evaluated their repair effects; finally constructed an integrated platform for traffic data mining. The purpose of the paper is to present some technique for the exploration of traffic data in an intelligent transportation system.