關(guān)于交通路口車流量優(yōu)化調(diào)度仿真
[Abstract]:The optimal scheduling of traffic flow can effectively improve the quality of urban traffic management. To optimize the traffic flow, it is necessary to calculate the speed quantification of the traffic flow during the peak period, and define the objective function of the traffic flow scheduling so as to complete the traffic flow scheduling at the intersection. The traditional method firstly maximizes the average waiting time of traffic flow, gives the coordination constraint between adjacent junctions, but neglects the definition of traffic flow scheduling objective function, which leads to low scheduling accuracy. A linear programming based traffic flow scheduling model for urban traffic junctions is proposed. The Small-World model is used to simulate the dynamic evolution of the traffic flow in the road network. The linear segmentation of the road network structure of the urban traffic intersection is carried out by using the linear programming scheme, and the time-scale equilibrium characteristics of the traffic flow observation vector are obtained. The characteristic vector space of intersection information and the length of idle time slice are obtained. Based on this, the speed quantification of traffic flow in peak time is calculated, the objective function of traffic flow scheduling is defined, and the traffic flow scheduling model of traffic intersection is established by using this function. Complete traffic flow scheduling at the intersection. The simulation results show that the proposed model has high scheduling accuracy and lays a solid foundation for improving the quality of urban traffic management.
【作者單位】: 清華大學(xué)土木水利學(xué)院;
【分類號】:TP391.9;U491.23
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