Number of Lane Changes Determined by Splashover Effects in Loop Detector Counts
Number of Lane Changes Determined by Splashover Effects in Loop Detector Counts
复制标题
DOI：
10.1109/tits.2012.2190403
复制
发表时间：
2012-12-01
影响因子：
8.5
通讯作者：
van Arem, Bart
中科院分区：
文献类型：
--
作者：
Knoop, Victor L.;Wilson, R. Eddie;van Arem, Bart
车道变化对于量化交通对于运营和规划目的都很重要。传统的车道内环路检测器不计算车道变化;因此，历史上，交通工程师使用其他数据源来估计它们。本文提供了一种方法来估计车道变化的数量的基础上观察的“跨骑”车辆，同时检测到的环路在相邻车道。在这里考虑的数据中，这样的“跨骑”几乎总是对应于正在变道的车辆。然而，许多车道变化发生在检测器站点之间，因此不会导致跨骑。这里开发的方法估计概率分布的车道变化的数量给定的观察到的跨。这种方法的有效性取决于校准问题和汇总期的大小。在这里提出的评估研究中，结果是好的：所提出的方法给出了车道变化的数量，误差约为10%，即使每个聚合周期的车道变化的数量随着时间的推移而变化10倍。
Lane changes are important in quantifying traffic for both operational and planning purposes. Traditional in-lane loop detectors do not count lane changes; hence, historically, traffic engineers have estimated them using other data sources. This paper provides a method for estimating the number of lane changes based on observations of "straddling" vehicles that are simultaneously detected by the loops in adjacent lanes. In the data considered here, such "straddles" almost always correspond to vehicles that are in the process of changing lanes. However, many lane changes take place between detector sites and, hence, do not result in straddles. The methods developed here estimate probability distribution for the number of lane changes given an observed number of straddles. The efficacy of this approach depends on calibration issues and on the size of the aggregation period. In the evaluation study presented here, the results are good: The proposed method gives the number of lane changes with approximately 10% error, even though the number of lane changes per aggregation period varies by a factor of 10 over time.