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The Optimization Design of Urban Traffic Signal Control Based on Three Swarms Cooperative-particle Swarm Optimization

机译:基于三种群合作粒子群优化的城市交通信号控制优化设计

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TSC-PSO (three swarms cooperative-particle swarm optimization)is applied to the optimization design of urban traffic,and average delay per vehicle is regarded as performance index.All of the particle swarms are divided into 3 swarms using the arithmetic of TSC-PSO,two of which fly to the optimum particle in the whole process while the rest fly away from the optimum particle.Traffic signal parameters such as cycle,phase difference and green signal ratio are optimized according to the change and exchange of particle flying direction. The simulation result shows that the method is feasible and effective.
机译:TSC-PSO(三种群体合作粒子群优化)应用于城市交通的优化设计,每辆车的平均延误被认为是性能指数。使用TSC-PSO的算术将粒子群分为3个群体,其中的两个在整个过程中飞到最佳粒子,而其余的远离最佳粒子。根据颗粒飞行方向的变化和交换,优化循环信号参数,例如循环,相位差和绿色信号比。仿真结果表明该方法是可行且有效的。

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