For the manual handling process of construction plans review, not only cumbersome, inefficient, and error-prone, a construction plan review management system has been researched and implemented. The system uses J2EE architecture, B / S structure, the system is designed as multi-layer model, in which clients are achieved by using JSP STRUTS (MVC pattern), intermediate application server is deployed by APACHE TOMCAT、 WEBLOGIC, back-office services and database using REPORTING SERVICE, SQL SERVER 2008, ORACLE. The system is uses internal monitoring platform technology solutions based on a distributed business systems, to achieve application monitoring, database users operation monitoring and system log monitoring capabilities for distributed business systems, it solves the current firewall, invading detection, network auditing and other internal system usage monitoring problems that the network security monitoring devices can not handle, also using a modular approach to achieve drawing attribute storage. The application results show that, first, through information management systems and information site combine to achieve a direct inquiry and calls the internal review comments through Internet and available for download, the whole process without human intervention upload data , greatly improved work efficiency and ensure review data in a real-time and reliability. Second, the information management system can be generated directly deal with review comments, review comments may be formed in a database for easy archiving management, inquiry and backup. Third, using the Simple Object Access Protocol (SOAP) to achieve information sharing printing, and enhance the system’s simplicity and scalability. Currently, most of the construction plan review works are in traditional working ways, that done manually in every aspect, it is slow and inefficient. Construction units, survey and design units, review experts to constantly back and forth between design units and survey units, affecting the progress of the project construction. For this situation, the country has developed some construction plan review management systems, which not only improves the project management system design, the efficiency of the use of personnel, but also reduces work errors. The engineering drawings of these systems are relied on manual processing, and does not solve the problem of how to simultaneously access multiple databases. The system uses a J2EE architecture, B / S mode, multi-model designed, the system framework combines Spring, Hibernate and Struts, three mainstream open source components, to make the system has good stability and ease of maintenance and good scalability[1]. The system uses aspect-oriented technology, to achieve one application service simultaneously manage multiple database connection pooling, to solve the difficult issues of how the general system simultaneous access to multiple databases; and also using a modular approach to achieve drawing attribute storage[2]. construction of Intelligent Transportation Systems (ITS) occupies a crucial position in the current wave of smart city. Effective and efficiency ITS needs two important conditions: plenty of traffic data and effective means of data analysis. Multi-source, heterogeneous, vague, uncertain traffic data fusion and sharing is the focus and difficulty of current research and application of ITS. The granular computing demonstrates a unique advantage in the information analysis and processing of massive, vague, uncertain and incomplete data. In this paper, we study the traffic information granular computing theory and build traffic information fusion model, framework and implementation program based on granular computing. We raise uncertainty reduction algorithms for traffic flow prediction and congestion recognition algorithms based on granular computing theory, which will provide new ideas and methods in the complex decision making under uncertainty problems of the transportation systems.