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According to the problem of the intervals of traditional traffic information collection technologies based on GPS equipped floating car chose by experience, or on which theoretical researches divorcing from reality at different degree, the optimization technologies for the sampling interval and transmitting interval are designed considering the influencing factors and verified with measured data....
In order to study the optimization algorithm of signal timing of urban intersection under real-time traffic flows, with the target of minimizing the total delay of all entrance lanes of all phases and the restrictions of saturation and the minimum green signal time, the non-linear programming model for real-time signal control of urban intersection was constructed and the genetic algorithm for solving...
Based on the analysis of the standard Particle Swarm Optimization and the characteristic of typical multi-intersection for urban trunk road, a traffic flow forecasting model using dynamic recursion neural network is presented. The feature of this network is that the output of the hidden layer connects to the input of itself through the delay and storage of the context layer. The method of self-connection...
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