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Traffic signal timing and phase optimization for intersection based on IPSO

机译:基于IPSO的十字路口交通信号配时与相位优化

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Urban area traffic signal control is a complicated issue. Based on the characteristics of vehicle delay, this paper proposes a method for signal timing and phase optimization. Particle swarm optimization (PSO) is adopted to optimize the multiphase traffic signal timing and phase sequence at the intersection. The optimization objective is to minimize the average vehicle delay of every cycle at the intersection. The simulation results demonstrate that the proposed method can efficiently reduce the average vehicle delay at the intersection and improve the traffic capacity of the intersection. In addition, the algorithm is fast and stable.
机译:市区交通信号灯控制是一个复杂的问题。根据车辆延迟的特点,提出了一种信号定时和相位优化的方法。采用粒子群算法(PSO)对交叉口的多相交通信号时序和相序进行优化。优化目标是使十字路口每个周期的平均车辆延迟最小。仿真结果表明,该方法可以有效地减少交叉路口的平均车辆延误,提高交叉路口的通行能力。另外,该算法快速稳定。

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