Traffic Queue Estimation for Metered Motorway On-Ramps through use of Loop Detector Time Occupancies
Traffic Queue Estimation for Metered Motorway On-Ramps through use of Loop Detector Time Occupancies
复制标题
通过使用环路检测器时间占用来估计计量高速公路入口匝道的交通队列
DOI：
10.3141/2396-06
复制
发表时间：
2013
影响因子：
1.7
通讯作者：
E. Chung
中科院分区：
文献类型：
--
作者：
J. Lee;R. Jiang;E. Chung
本研究的主要目的是开发一个强大的排队估计算法的高速公路入口匝道。实时排队信息是计量入口匝道动态排队管理的重要输入。准确可靠的排队信息使入口匝道排队的管理能够适应实际的交通排队大小，从而最大限度地减少排队冲刷的不利影响，同时增加匝道调节的好处。该算法是基于卡尔曼滤波框架。基本守恒模型用于估计系统状态（队列大小）与流入和流出的测量。通过使用中间链路和链路入口环路检测器的时间占用，使用测量方程更新这些投影结果。本研究还提出了一种新的奇点校正方法。该方法重置估计的系统状态以消除随时间累积的计数误差。在性能评估中，该算法表现出准确可靠的性能，并始终优于基准单占用卡尔曼滤波（SOKF）方法。与SOKF方法相比，估计精度和可靠性平均分别提高了62%和63%。该算法的创新概念的好处是很好地证明了在拥挤的匝道交通，其中长队列可能会显着损害基准算法的性能的条件下，提高估计性能。
The primary objective of this study is to develop a robust queue estimation algorithm for motorway on-ramps. Real-time queue information is a vital input for dynamic queue management on metered on-ramps. Accurate and reliable queue information enables the management of on-ramp queues in a manner that adapts to the actual traffic queue size and thus minimizes the adverse impacts of queue flush while increasing the benefit of ramp metering. The proposed algorithm is based on the Kalman filter framework. The fundamental conservation model is used to estimate the system state (queue size) with the flow-in and flow-out measurements. These projection results are updated with the measurement equation by using the time occupancies from midlink and link entrance loop detectors. This study also proposes a novel singular-point correction method. This method resets the estimated system state to eliminate the counting errors that accumulate over time. In the performance evaluation, the proposed algorithm demonstrated accurate and reliable performance and consistently outperformed the benchmarked single-occupancy Kalman filter (SOKF) method. The improvements over the SOKF method were 62% and 63% on average for the estimation accuracy and reliability, respectively. The benefit of the innovative concepts of the algorithm is well justified by the improved estimation performance in conditions of congested ramp traffic, in which long queues may significantly compromise the benchmark algorithm's performance.