Actuated Intersection Signal Control Using Probability Model
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摘要: 考虑多种因素影响下初始绿灯时间和车辆到达服从概率分布特征,提出了1种交叉口感应控制最大绿灯时间优化模型,以交叉口平均延误、停车次数、排队长度为评价指标,利用 Vissim 仿真软件,将该模型与传统感应控制模型进行对比。仿真结果表明提出的算法在不同的饱和度下改进效果比较明显,尤其当交通量较大、饱和度较高时,传统感应控制效果有限,采用该模型的改进效果依然显著。Abstract: Under the influence of various factors the initial green time and vehicles arrivals obey probability distribu -tion properties .This research proposes a new intersection actuated control model for optimizing maximum green time by using average delay ,number of stops ,and queue length as evaluation indicators .By using the Vissim simulation soft-ware ,the model is compared with the traditional actuated control models .Simulation results show that the proposed algo-rithm shows better improvement under different vehicle saturation levels ,where the traditional models can only have lim-ited success .
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Key words:
- actuated control /
- Vissim /
- single intersection /
- green time
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