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Real time delay estimation for signalized intersection using transit vehicle positioning data

机译:使用运输车辆定位数据的信号交叉口实时延迟估计

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The paper proposed a practical method to accurately estimate the vehicle delay at signalized intersections. Firstly we derived an analytical delay formula based on the observation of the queue forming/discharging process. According to uniform arrivals assumption, the formula was then simplified to a linear relation between the travel time and the observed vehicle location. However, the factors in the formula are associated with the specific intersections' queue characteristics. So we collected massive historical trajectory data using GPS instrumented transit vehicles, and analyzed it with DBSCAN and Least Square Fit algorithms to determine the time-dependent factors at each intersection. In this way the formula can calculate precise intersection delay only base on vehicle positioning data, without the need to know signal or traffic information. Field experiments are conducted and the results verify the effectiveness of the proposed method.
机译:本文提出了一种实用的方法来准确估计信号交叉口的车辆延误。首先,我们基于对队列形成/释放过程的观察得出了一个解析延迟公式。根据一致的到达假设,然后将该公式简化为行驶时间与观察到的车辆位置之间的线性关系。但是,公式中的因素与特定路口的排队特征相关。因此,我们使用装有GPS的运输工具收集了大量的历史轨迹数据,并使用DBSCAN和最小二乘拟合算法对其进行了分析,以确定每个交叉口的时间相关因素。这样,该公式可以仅基于车辆定位数据来计算精确的交叉路口延迟,而无需知道信号或交通信息。进行了现场实验,结果验证了所提方法的有效性。

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