摘要：
Intelligent transportation integrated access system can significantly improve the security of computer network systems, while trusted computing technology can effectively enhance the credibility and safety of the terminal, and then construct a trusted network connection. Based on computing technology, this thesis proposes to establish a credible integrated access network, and implement network access control on the remote access equipment, thereby enhancing the safety of the integrated access system. The results show that, through the transmission technology of credible chain proposed in this paper, and remote proof technology basing on device identity and security policies can establish a credible integrated access system, thus effectively improving the security of Beijing intelligent transportation systems.
摘要：
In highway engineering project construction process, the traditional management can not meet the demand of economic development any more. According to the requirement of economic society development with scientific development perspective, under the guidance of scientific development perspective, highway engineering construction management department has strengthened construction project management, optimized highway construction management measure and finished construction task as scheduled with high quality, high efficiency and low cost, which is a beautiful construction management measure. This article has proposed the application of new project management model to solve the problem of contradiction among quality, cost and schedule management, which has certain value in solving practical problems in highway reconstruction and extension engineering. The study in this article has contributed much to highway project management in theory and practice, which has done great benefit to reducing engineering cost, and improving project management & engineering quality.
摘要：
With the continuous development of data mining technology, to apply the data mining techniques to transportation sector will provide service to transportation scientifically and reasonably. In intelligent transportation, the analysis of traffic flow data is very important, how to analyze the traffic data intelligently is more difficult problem, so using a new data mining techniques to replace the traditional data analysis and interpretation methods is very necessary and meaningful, clustering algorithm is the collection of physical or abstracting objects into groups of similar objects from the multiple classes of processes. This paper describes all kinds of the data mining clustering algorithms, clustering algorithm is proposed in the method of dealing with traffic flow data, and applied to the actual traffic data processing, and finally the clustering algorithm is applied to each of highway toll station Various types of car traffic volume data analysis.
