首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Travel Time Model for Right-Turning Vehicles of Secondary Street at Unsignalized Intersections
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Travel Time Model for Right-Turning Vehicles of Secondary Street at Unsignalized Intersections

机译:无信号交叉口辅助街道右转车辆的行驶时间模型

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The travel time of right-turning vehicles on secondary street at unsignalized intersection is discussed in this paper. Under the assumption that the major-street through vehicles’ headway follows Erlang distribution and secondary-street right-turning vehicles’ headway follows Poisson distribution. The right-turning vehicles travel time model is established on the basis of gap theory and M/G/1 queue theory. Comparison is done with the common model based on the assumption that the major-street vehicles’ headway follows Poisson distribution. An intersection is selected to verify each model. The results show that the model established in this paper has stronger applicability, and its most relative error is less than 15%. In addition, the sensitivity analysis has been done. The results show that right-turning flow rate and major-street flow rate have a significant impact on the travel time. Hence, the methodology for travel time of right-turning vehicles at unsignalized intersection proposed in this paper is effective and applicable.
机译:本文讨论了在无信号交叉路口的辅助街道上右转车辆的行驶时间。假设直通车的主要街道车道遵循Erlang分布,次直路的右转车辆的车道遵循泊松分布。基于间隙理论和M / G / 1排队理论建立了右转车辆行驶时间模型。基于通用模型进行的比较是基于以下假设,即主要街道车辆的行进遵循泊松分布。选择一个相交以验证每个模型。结果表明,本文建立的模型具有较强的适用性,最大相对误差小于15%。另外,灵敏度分析已经完成。结果表明,右转流量和主要街道流量对行驶时间有显着影响。因此,本文提出的无信号交叉口右转车辆行驶时间的方法是有效和适用的。

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