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Urban traffic and transportation problems have become the main problem in the way of urban development. In order to resolve prediction problem of traffic volume, firstly, time series of traffic volume are reconstructed in the phase space in this paper, and correlative information in the traffic volume are extracted richly, then two-stage prediction system for traffic volume is applied: the first stage...
Urban transport problems have become severe social problems with the motorization and urbanization. In order to solve these problems, and achieve better effect of real-time traffic control, aiming at the signalized intersections of urban road network, some researches are made on the prediction of traffic flow in this paper. On the basis of it, a prediction model is constructed by using a superiority...
A particle swarm optimization (PSO) algorithm with master-slave structure is proposed to train fuzzy wavelet neural network which be used to predict short-time traffic flow. The PSO algorithm is formulated in a form of hierarchical structure. The global search is performed at the master level, while the local search is carried out at the slave level. Through the harmonizing mechanism between master...
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