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The development of information technology provide foundation to collect a large number of data for urban traffic management. These traffic data can be used to monitor traffic state surrounding the bottleneck and to analysis the evolution of the temporal and spatial rules of congestion. Based on the historical detector data, the new indexes have been proposed in this paper to evaluate the severity...
With a large number of traffic parameters data, it is an important issue that how to set up an efficient model of classification and prediction to identify the congestion state as soon as possible. The article provided a model of predicting traffic congestion based on the learn vector quantization neural network by making use of traffic parameters such as speed, volume and occupancy which were detected...
The green ratio model of Webster ignores the difference of traffic flow in different traffic state. The paper introduces an idea of traffic priority. It deals out more green time for the phase which has the highest traffic demand in oversaturated traffic, so as to prevent and clear off the crowded traffic flow as soon as possible. Each phase gets the priority by turns, so the improved green ratio...
In the widely used traditional control system, traffic coordination and control between regions are neglected. Regional boundarypsilas traffic control effect has direct influence on the input traffic flow control and output traffic flow control of the regions. In this paper, a traffic coordination and control model of regional boundary based on fuzzy control is proposed. Two fuzzy controllers are...
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