多源数据条件下信号交叉口排队长度估算方法

Queue length estimation for signalized intersections based on multi-source data

为准确评价交通运行状况,以传统经典模型为基础,结合多源交通检测数据,提出了新的信号交叉口排队长度估算方法,并通过上海市中心城区交叉口实测数据进行了实证研究,对不同条件下该方法的准确度及有效性进行了分析。研究表明,本文提出的信号交叉口排队长度估算方法计算的结果较传统经典模型精确度更高,且具有较好的可操作性。

In order to accurately evaluate the traffic condition, based on the classical model combined with multi-source traffic detection data, a new queue length estimation method for signalized intersections was proposed. The data measured in an intersection in downtown Shanghai were used to verify the proposed method. The accuracy and effectiveness of this method under different conditions were analyzed. Results show that the accuracy of proposed queue length estimation method for signalized intersection is higher than classical model, and it is workable.