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Investigation of Cyclic Vehicle Queue and Delay Relationship for Isolated Signalized Intersections

机译:隔离信号交叉口的循环车辆排队与延误关系研究

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Delay is the one of the design criteria that has been used for performance evaluation of signalized intersections. In pre-timed control, vehicle delays can be minimized or reduced by proper design of signal timings and phasing. But vehicle delays include many parameters such as signal timing, number of phases, vehicle headways, saturation flow, queueing etc. Among these parameters vehicle queue is formed by unbalanced signal timings or unexpected demand values. On the other hand, headways of vehicles can be effective on queue forming especially in discharging case. It is also related to driver behaviors. In this paper, relationship of cyclic vehicle queue and vehicular delay is investigated considering different signal timings and phase sequencing. The data are obtained from observations that are made at urban intersections of Denizli city, Turkey. Regression analysis is used for relationship and statistical tests are applied. The MuLReD (Multiple Linear Regression Analysis based Delay Estimation) model is developed and significance of the model is proved by statistically. Adjusted R2value of MuLReD Model is obtained as 0,95. On the other hand, delay values obtained from the MuLReD Model and Akcelik Vehicle Delay Formula are compared with each other. As a result of comparisons, Mean Square Error (MSE) values for Akcelik Equation and the MuLReD Model are determined as about 112 and 7 respectively. These results show that outcomes obtained by the MuLReD Model are closer to field observations. Discussions about the present delay formulas, are also reported in the paper.
机译:延迟是已用于信号交叉口性能评估的设计标准之一。在预定时控制中,可以通过适当设计信号定时和定相来最小化或减少车辆延迟。但是车辆延迟包括许多参数,例如信号正时,相数,车辆车距,饱和流量,排队等。在这些参数中,车辆队列是由不平衡的信号正时或意外的需求值形成的。另一方面,车辆的行进对排队形成特别是在卸货情况下可能是有效的。它也与驾驶员的行为有关。本文研究了考虑不同信号时序和相位排序的循环车辆排队与车辆延迟的关系。数据是从在土耳其代尼兹利市的城市交叉点所做的观察获得的。回归分析用于建立关系,并应用统计检验。建立了MuLReD(基于多重线性回归分析的时延估计)模型,并通过统计证明了该模型的重要性。 MuLReD模型的调整后R2值为0.95。另一方面,将从MuLReD模型和Akcelik车辆延迟公式获得的延迟值相互比较。作为比较的结果,Akcelik方程和MuLReD模型的均方误差(MSE)值分别确定为大约112和7。这些结果表明,MuLReD模型获得的结果更接近现场观察。本文还报告了有关当前延迟公式的讨论。

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