Research And Implementation Of Traffic Information Management System With Privacy Protection Function

As the infrastructure of the modern city,the freeway has an important influence on people's daily life and national economy.The traditional concept of "heavy construction,light maintenance" has not adapted to the development trend of Chinese existing freeway.With the popularization and application of the information technology,it is very important to use the information technology to manage the freeway efficiently.As the information pieces fast developing,privacy disclosure and protection of personal information security have become the important indicators of the application system.In this thesis,the differential privacy protection method is combined with the freeway information management system.An improved algorithm is proposed to solve the problem of privacy leakage in PINQ,which is commonly used in differential privacy protection framework,and a transportation information management system is developed for the freeway information.Apply is a key algorithm in PINQ.But the existing Apply does not limit the times for query,that is to say it is possible to get the exact information after analyzing a large number of results.The improved algorithm is proposed to solve this problem.The transportation information management system is based on the algorithm.In the thesis,the better combination of the key parameters budget is obtained through experiments.By using the unimproved and improved Apply algorithm in the application of the system,we verify the improved algorithm has a stronger privacy protection function.And we also compare the improved algorithm with the Entropy algorithm which is a K-Anonymous algorithm based on entropy classification.And by means of error analysis,privacy disclosure and data availability we illustrate the improved algorithm is the better method.