Group Decision Model of Intelligent Traffic Integrated Information Platform Based on Multi-Agent Technique

This paper introduces the group decision model of intelligent traffic integrated platform based on multi-agent technique, in order to meet the urban traffic management actual demands. The model is designed to realize that the multi-agent technique is combined with the group decision theory and to support all of the urban traffic managers and directors taking part in decision at the same time. Moreover, the required functions of the multi-users participating in the conversation and preventing the passive colony from expanding are fully considered by the model. The characteristics of the group decision problems such as the diversities among the managers and directors and human-machine organic fusion also been taken into account. Finally, the paper presents the case study to validate the maneuverability and validity of the model. By the applications of this model, we will realize that the urban traffic managers and directors will make decision more scientifically, command more sensitively, react more quickly than before in order to improve the traffic resources using efficiency and service level of road network, decrease air pollution and power consuming, advance the environment, economic and society continuable development, the based on the highly integrated information and related value increment.