As the backbone of metropolitan transportation, urban expressway shares a large proportion of long distance traffic flow. With the motorization processing, traffic congestion is becoming more and more serious. Intersections are the key interrupted nodes of continuous traffic flow which are the direct inducement of freeway congestion. As an important method of active traffic management, speed guidance control was adopted to improve the road efficiency and safety level. Firstly, speed guidance mathematical model was established based on the traffic flow data and control strategy was also designed for the intersection. Then, online simulation system was built. Microscopic simulation platform was used to simulate the real world traffic. The macro dynamic traffic flow model was established and real-time data were exchange through the application programming interface among the three parts of the simulation system. Next, control effects were analyzed in detail. The results show that vehicle travel time and traffic delay greatly decreased. Emissions of pollutants also have been significantly reduced. Finally, this paper puts forward suitable proposals for the implementation of speed guidance control in China.
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