Research On Police Affairs Decision Support Of SHENYANG Traffic Police Detachment

With the acceleration of the urbanization progress, urban popularization is soaring up and automobile becomes popular. As a result, various traffic problems relevant come out, such as aggravating traffic jam, frequently happened traffic accident, and traffic environment deterioration. In order to deal with these problems, the traffic guidance department adopts kinds of methods. the traffic guidance department is improving traffic infrastructures, and also increases the investment in technology to establish a series of electronic technical system like traffic signal control, video monitoring, traffic indication and wireless communication. However, due to the complex traffic factors and large amount of information, daily traffic management and all policies decision are still lack of scientific support and also in a low efficiency. In order to increasing the efficiency of traffic management work, it is very necessary that the traffic guidance department to adopt the networked traffic management decision making auxiliary which can used to information collection, information analysis, information control and information feedback.Based on the current situation of traffic management in Shenyang Traffic Police Detachment, this article analyses the main problems and challenges that Shenyang Urban Traffic Management faced and brings a solution that establish police affairs decision-making back-up mechanism by integrating the current traffic information in order to improve police affairs decision making back-up level.This article established a framework of traffic management auxiliary decision making supporting system, following the routine of raising problems, analyzing problems and solving problems. It discussed the functions of system models, the designing of system model, and well as the system operation mechanismThis article also describes the practical application on this system, and makes the conclusion that traffic management auxiliary decision making system can improve the efficiency of decision making.