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Travel Time Model for Right-Turning Vehicles of Secondary Street at Unsignalized Intersections

机译:在无罪交叉口右转车辆右转车辆的旅行时间模型

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摘要

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:本文讨论了在无罪化交叉处右转车辆的右转车辆的旅行时间。在假设主要街道通过车辆的前进之后遵循Erlang分布和二级右转车辆的前往泊松分布。右转车辆在差距理论和M / G / 1队列理论的基础上建立了右转车辆行程模型。基于主要街道车辆的前沿跟随泊松分布,采用共同模型进行比较。选择交叉点以验证每个模型。结果表明,本文建立的模型具有更强的适用性,其最相对误差小于15%。此外,已经完成了敏感性分析。结果表明,右转流速和主要街道流量对旅行时间产生重大影响。因此,本文提出的右转车辆在右转车辆的旅行时间的方法是有效和适用的。

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