论文标题

探针车辆问题的队列长度预测的分析,并出现在

Analysis of Queue Length Prediction from Probe Vehicles Problem with Bunch Arrival Headways

论文作者

Comert, Gurcan, Jones, Stacey Franklin

论文摘要

本文讨论了在隔离的交叉路口的探针车辆中的队列长度的实时预测,以实现不饱和条件。该论文将流量的束效应纳入对预测准确性的评估,这是探测器与整个车辆人口的比例的函数。提出了用于预测预期队列长度及其差异的配方,该方差基于负指数和束指数的车辆前进。两种车辆前进类型的数值结果均记录在显示预测错误与容量比和探针比例的行为。发现与以相同的到达率和探针比例相比,泊松到达产生了保守的置信区间,并且需要更高的探针比例。

This paper discusses the real-time prediction of queue lengths from probe vehicles for the Bunch arrival headways at an isolated intersection for undersaturated conditions. The paper incorporates the bunching effect of the traffic into the evaluation of the accuracy of the predictions as a function of proportion of probe vehicles to entire vehicle population. Formulations are presented for predicting the expected queue length and its variance based on Negative Exponential and Bunched Exponential vehicle headways. Numerical results for both vehicle headway types are documented to show how prediction errors behave by the volume to capacity ratio and probe proportions. It is found that the Poisson arrivals generate conservative confidence intervals and demand higher probe proportions compared to Bunched Exponential headways at the same arrival rate and probe proportion.

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