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Urban Arterial Road Green-wave Control Based on Genetic Algorithm

机译:基于遗传算法的城市动脉道绿波控制

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Aiming at the minimal delay of vehicles in each direction along the artery at the expected speed of travel, this paper proposes an optimal offset model for artery traffic signal control system by analyzing the rules of two directional traffic flow delay at the intersections, which introduces the idea of bidirectional green-wave signal control. The objective function is optimized by applying the genetic algorithms. During the simulation, delay of lateral is considered. By comparing with the fixed-time control, the result of the simulation shows the new control model wins over traditional control in reducing the average total delay of vehicles in arterial road.
机译:旨在在预期的旅行速度下沿动脉沿动脉延迟每方向的车辆最小延迟,提出了通过分析交叉点的两个定向交通流量延迟规则的动脉交通信号控制系统的最佳偏移模型,这引入了双向绿波信号控制的想法。通过应用遗传算法优化目标函数。在模拟期间,考虑横向的延迟。通过与定时控制进行比较,模拟结果显示了在传统控制中赢得了传统控制的胜利,降低了动脉道路中车辆的平均总延迟。

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